{"id":3036,"date":"2026-06-15T13:17:49","date_gmt":"2026-06-15T10:17:49","guid":{"rendered":"https:\/\/marshallai.com\/?post_type=solution&#038;p=3036"},"modified":"2026-08-28T13:38:44","modified_gmt":"2026-08-28T10:38:44","slug":"mobility-analytics","status":"publish","type":"solution","link":"https:\/\/marshallai.com\/fi\/solution\/mobility-analytics\/","title":{"rendered":"Mobility Analytics"},"content":{"rendered":"<div class=\"mai-section gb-element-7c77d488 first-section\">\n<div class=\"gbp-section__inner gb-element-3c142d71\">\n<div class=\"gb-element-3ef954b0 mai-reveal\">\n<p class=\"gb-text\"><a href=\"https:\/\/marshallai.com\/fi\/\" data-type=\"page\" data-id=\"25\">Home<\/a> \/ <a href=\"https:\/\/marshallai.com\/fi\/solutions\/\" data-type=\"page\" data-id=\"2395\">Solutions<\/a> \/ Mobility Analytics<\/p>\n\n\n\n<h1 class=\"gb-text mai-reveal mai-headline\">Turn traffic camera feeds into actionable <em>Mobility Analytics<\/em><\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Track, classify, and analyze multi-modal traffic and pedestrian movement in real time. Deploy edge-processed and GDPR-compliant analytics on your existing CCTV infrastructure without sending a single byte of video data to the cloud.<\/p>\n\n\n\n<div class=\"gb-element-1c3832b0\">\n<a class=\"gb-text gb-text-10574e93 mai-btn-primary\" href=\"https:\/\/marshallai.com\/fi\/contact\/\">Request a demo<\/a>\n<\/div>\n<\/div>\n\n\n\n<div>\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;6a9ae1c87d47a&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"6a9ae1c87d47a\" class=\"wp-block-image size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1600\" height=\"773\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI_Case-Vantaa_public-dashboard.webp\" alt=\"\" class=\"wp-image-2176\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI_Case-Vantaa_public-dashboard.webp 1600w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI_Case-Vantaa_public-dashboard-300x145.webp 300w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI_Case-Vantaa_public-dashboard-1024x495.webp 1024w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI_Case-Vantaa_public-dashboard-768x371.webp 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI_Case-Vantaa_public-dashboard-1536x742.webp 1536w\" sizes=\"auto, (max-width: 1600px) 100vw, 1600px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\tdata-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.thisImage.buttonRight\"\n\t\t\tdata-wp-style--top=\"state.thisImage.buttonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gbp-section gb-element-207c56eb mai-bg-alt-1\">\n<div class=\"gb-element-0ed52b43\">\n<div class=\"gb-element-367c01c4\">\n<div class=\"gb-text gb-text-a7fb84b8 mai-eyebrow\">Trusted by<\/div>\n<\/div>\n\n\n\n<div class=\"gb-element-0fbd3479\">\n<div>\n<img decoding=\"async\" class=\"gb-media-5a172836\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Helsingin-kaupunki-logo-svg.svg\" alt=\"\" title=\"Helsingin kaupunki logo svg\"\/>\n<\/div>\n\n\n\n<div>\n<img loading=\"lazy\" decoding=\"async\" width=\"400\" height=\"80\" class=\"gb-media-bc9dbb95\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Lappeenranta-kaupunki-logo.png\" alt=\"\" title=\"Lappeenranta kaupunki logo\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Lappeenranta-kaupunki-logo.png 400w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/02\/Lappeenranta-kaupunki-logo-300x60.png 300w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/>\n<\/div>\n\n\n\n<div>\n<img loading=\"lazy\" decoding=\"async\" width=\"400\" height=\"80\" class=\"gb-media-86b01c58\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/Stockholms-stad-logo-white.webp\" alt=\"\" title=\"Stockholms stad logo white\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/Stockholms-stad-logo-white.webp 400w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/Stockholms-stad-logo-white-300x60.webp 300w\" sizes=\"auto, (max-width: 400px) 100vw, 400px\" \/>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"mai-section gb-element-a7cd9bbe\">\n<div class=\"gbp-section__inner gb-element-32ffddf5\">\n<div class=\"gb-element-575113d7 mai-reveal\">\n<p class=\"mai-list-title\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewbox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg><\/span><span class=\"gb-text\"><strong><strong><strong>98% +<\/strong> Vehicle detection accuracy in challenging outdoor environments<\/strong><\/strong><\/span><\/p>\n\n\n\n<p class=\"mai-list-title\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewbox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg><\/span><span class=\"gb-text\"><strong><strong>99.8%<\/strong> Pedestrian detection reliability for live infrastructure actuation<\/strong><\/span><\/p>\n\n\n\n<p class=\"mai-list-title\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewbox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg><\/span><span class=\"gb-text\"><strong><strong><strong>100%<\/strong> GDPR compliance via local, air-gapped edge processing<\/strong><\/strong><\/span><\/p>\n\n\n\n<p class=\"mai-list-title\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewbox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg><\/span><span class=\"gb-text\"><strong><strong>Integration with VMS software like Milestone&#8217;s Xprotect and Genetec<\/strong><\/strong><\/span><\/p>\n\n\n\n<p class=\"mai-list-title\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewbox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg><\/span><span class=\"gb-text\"><strong><strong>Works with existing IP cameras and legacy analogue CCTV infrastructure<\/strong><\/strong><\/span><\/p>\n\n\n\n<p class=\"mai-list-title\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewbox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg><\/span><span class=\"gb-text\"><strong><strong><strong>Integration with traffic controllers (Swarco, Yunex etc.)<\/strong><\/strong><\/strong><\/span><\/p>\n\n\n\n<p class=\"mai-list-title\"><span class=\"gb-shape\"><svg aria-hidden=\"true\" role=\"img\" height=\"1em\" width=\"1em\" viewbox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path fill=\"currentColor\" d=\"M256 8C119 8 8 119 8 256s111 248 248 248 248-111 248-248S393 8 256 8z\"><\/path><\/svg><\/span><span class=\"gb-text\"><strong><strong><strong>GDPR-compliant by design \u2014 real-time face and license plate blurring and no biometric data<\/strong><\/strong><\/strong><\/span><\/p>\n<\/div>\n\n\n\n<div class=\"mai-reveal\">\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;6a9ae1c87dd91&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"6a9ae1c87dd91\" class=\"wp-block-image size-large wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_co-reduction-1024x576.webp\" alt=\"\" class=\"wp-image-2133\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_co-reduction-1024x576.webp 1024w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_co-reduction-300x169.webp 300w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_co-reduction-768x432.webp 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_co-reduction.webp 1500w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\tdata-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.thisImage.buttonRight\"\n\t\t\tdata-wp-style--top=\"state.thisImage.buttonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"mai-section mai-bg-grid\">\n<div class=\"mai-container_inner-content gb-element-1475a085\">\n<div class=\"gb-element-531a117a\">\n<h2 class=\"gb-text gbp-section__headline\">Multi-Modal Traffic Counting &amp; Vehicle Classification<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Local and regional authorities need accurate utilization data to justify infrastructure investments. MarshallAI replaces manual counters and delicate legacy loops with automated visual intelligence that functions in heavy rain, thick fog, and sub-zero Nordic winter conditions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Our platform does not just count traffic; it categorizes the composition of your roadways simultaneously.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Granular Classification:<\/strong> Differentiate between passenger cars, commercial delivery vans, heavy freight trucks, transit buses, cyclists, and pedestrians.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Turning Movement Counts (TMC):<\/strong> Automate complex intersection tracking to map exact vehicle pathways and volumes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Asset &amp; Lane Utilization:<\/strong> Identify bottleneck areas, unauthorized bus lane usage, and structural queue delays in real time.<\/p>\n<\/div>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;6a9ae1c87e1b9&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"6a9ae1c87e1b9\" class=\"wp-block-image size-large wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI-traffic2-1024x576.webp\" alt=\"\" class=\"wp-image-1443\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI-traffic2-1024x576.webp 1024w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI-traffic2-300x169.webp 300w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI-traffic2-768x432.webp 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/03\/MAI-traffic2.webp 1280w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\tdata-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.thisImage.buttonRight\"\n\t\t\tdata-wp-style--top=\"state.thisImage.buttonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div>\n<\/div>\n\n\n\n<div class=\"mai-section mai-bg-grid\">\n<div class=\"mai-container_inner-content gb-element-7b84f453\">\n<div class=\"gb-element-9149778f\">\n<h2 class=\"gb-text gbp-section__headline\">Crowd Analytics &amp; Pedestrian Desire Lines<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">For public safety, venue management, and smart city planners, understanding human movement is vital to optimizing spaces and protecting citizens. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">MarshallAI turns any standard IP camera into an intelligent sensor that measures spatial dynamics without compromising individual privacy.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Pedestrian Desire Lines:<\/strong> Map the actual paths people take across public squares, transit hubs, or commercial spaces, exposing layout inefficiencies.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Real-Time Crowd Density:<\/strong> Monitor occupancy levels in defined zones to prevent overcrowding and trigger automated safety alerts.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Zonal Dwell Times:<\/strong> Calculate exactly how long visitors linger in front of specific infrastructure, exhibits, or transit platforms.<\/p>\n<\/div>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;6a9ae1c87e52e&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"6a9ae1c87e52e\" class=\"wp-block-image size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"360\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/06\/MarshallAI_illustration_mobility-analytics-dwell.webp\" alt=\"\" class=\"wp-image-3028\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/06\/MarshallAI_illustration_mobility-analytics-dwell.webp 640w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/06\/MarshallAI_illustration_mobility-analytics-dwell-500x281.webp 500w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\tdata-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.thisImage.buttonRight\"\n\t\t\tdata-wp-style--top=\"state.thisImage.buttonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div>\n<\/div>\n\n\n\n<div class=\"mai-section mai-bg-grid\">\n<div class=\"mai-container_inner-content gb-element-5876ca5b\">\n<div class=\"gb-element-6117ef94\">\n<h2 class=\"gb-text gbp-section__headline\">Engineered for Privacy: 100% Air-Gapped GDPR Compliance<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Public sector procurement demands strict data sovereignty. Traditional cloud-based systems stream live, identifiable video externally, creating immense regulatory liability. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">MarshallAI completely de-risks your deployment through our local inference engine and dedicated privacy nodes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Real-time privacy:<\/strong> our platform utilizes a configurable real time blurring node. This node automatically masks all human faces and vehicle license plates in <em>before<\/em> the video feed ever reaches your control room or debugging monitors. Operators see the spatial environment and the tracking data, but no personally identifiable information (PII) is ever visible.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Edge processing:<\/strong> completely offline processing. The AFSA platform creates anonymized numerical statistics locally and optionally destroys the unmasked footage instantly at the edge.  <\/p>\n<\/div>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;6a9ae1c87e8c5&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"6a9ae1c87e8c5\" class=\"wp-block-image size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"540\" height=\"710\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/06\/MarshallAI_mobility-analytics_facial-blur.webp\" alt=\"\" class=\"wp-image-3029\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/06\/MarshallAI_mobility-analytics_facial-blur.webp 540w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/06\/MarshallAI_mobility-analytics_facial-blur-380x500.webp 380w\" sizes=\"auto, (max-width: 540px) 100vw, 540px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\tdata-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.thisImage.buttonRight\"\n\t\t\tdata-wp-style--top=\"state.thisImage.buttonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewbox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><\/figure>\n<\/div>\n<\/div>\n\n\n\n<div class=\"mai-section mai-bg-grid\">\n<div class=\"mai-container_inner-content gb-element-1b5765e8\">\n<div class=\"gb-element-011c92fe\">\n<h2 class=\"gb-text gbp-section__headline\">Native Infrastructure Integration<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A software solution is only useful if it talks to your physical assets. MarshallAI bridges the gap between modern AI models and legacy hardware platforms through native protocol support.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Protocol \/ System<\/th><th>Integration Type<\/th><th>Operational Benefit<\/th><\/tr><\/thead><tbody><tr><td><strong>DATEX II \/ RSMP \/ OCIT<\/strong><\/td><td>European Traffic Protocols<\/td><td>Connects directly to Swarco, Yunex, and Nordic roadside controllers to actuate live signals and export standardized traffic data.<\/td><\/tr><tr><td><strong>Milestone XProtect \/ Genetec<\/strong><\/td><td>Video Management Systems<\/td><td>Overlays real-time mobility data directly onto your existing security dashboard.<\/td><\/tr><tr><td><strong>JSON \/ REST API<\/strong><\/td><td>Data Infrastructure<\/td><td>Exports automated traffic statistics directly to municipal dashboards and ERPs.<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"mai-section gb-element-62641e3d\">\n<div class=\"mai-container_inner-content\">\n<div class=\"gb-element-62143277\">\n<h2 class=\"gb-text gb-text-d1064ca6 mai-headline mai-reveal\">Case studies<\/h2>\n<\/div>\n<\/div>\n\n\n\n<div class=\"mai-container_inner-content\">\n<div><ul class=\"gbp-list--unstyled gb-looper-5cf487fa\">\n<li class=\"gb-loop-item post-2174 case-study type-case-study status-publish has-post-thumbnail hentry category-smart-cities category-traffic-management tag-case-study tag-computer-vision tag-edge-computing tag-smart-cities tag-traffic-control tag-traffic-counting tag-traffic-management tag-traffic-statistics\">\n<article class=\"mai-card-article gb-element-ff0abb7c\">\n<a href=\"https:\/\/marshallai.com\/fi\/case-study\/vantaa-traffic-infrastructure-actuation\/\"><img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" alt=\"\" data-media-id=\"2135\" class=\"gb-media-264cf724\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_multi-view-768x432.webp\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_multi-view-768x432.webp 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_multi-view-300x169.webp 300w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_multi-view-1024x575.webp 1024w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_multi-view.webp 1500w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/a>\n\n\n\n<div class=\"gb-element-b7e65b9a\">\n<span class=\"gb-text mai-card-article-title\"><a href=\"https:\/\/marshallai.com\/fi\/case-study\/vantaa-traffic-infrastructure-actuation\/\">Actuating Physical Infrastructure: How MarshallAI Achieved 99.8% Reliability in Harsh Conditions<\/a><\/span>\n\n\n\n<div>\n<p class=\"gb-text mai-card-article-text\">Discover how MarshallAI&#8217;s edge vision flawlessly tracks complex objects in extreme conditions, achieving a 99.8% pedestrian detection reliability rate while safely triggering physical infrastructure controllers in real-time.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-62fba4e0\">\n<p class=\"gb-text mai-article-card-tag\"><span>Smart cities<\/span> <span>Traffic management<\/span><\/p>\n<\/div>\n<\/div>\n<\/article>\n<\/li>\n\n<li class=\"gb-loop-item post-2123 case-study type-case-study status-publish has-post-thumbnail hentry category-smart-cities category-traffic-management tag-ai-vision tag-case-study tag-computer-vision tag-emission-reduction tag-machine-vision tag-traffic-control tag-traffic-counting tag-traffic-management\">\n<article class=\"mai-card-article gb-element-ff0abb7c\">\n<a href=\"https:\/\/marshallai.com\/fi\/case-study\/ai4cities-intelligent-traffic-intersection-management\/\"><img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"432\" alt=\"\" data-media-id=\"2133\" class=\"gb-media-264cf724\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_co-reduction-768x432.webp\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_co-reduction-768x432.webp 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_co-reduction-300x169.webp 300w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_co-reduction-1024x576.webp 1024w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/MarshallAI-case-study-AI4Cities_co-reduction.webp 1500w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/a>\n\n\n\n<div class=\"gb-element-b7e65b9a\">\n<span class=\"gb-text mai-card-article-title\"><a href=\"https:\/\/marshallai.com\/fi\/case-study\/ai4cities-intelligent-traffic-intersection-management\/\">Smarter intersections, fewer emissions: MarshallAI and AI4Cities<\/a><\/span>\n\n\n\n<div>\n<p class=\"gb-text mai-card-article-text\">MarshallAI is proven in critical systems and continuous operation. Deployed in Helsinki and Paris, our deep learning platform autonomously controlled live infrastructure to reduce emissions by up to 8%. <\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-62fba4e0\">\n<p class=\"gb-text mai-article-card-tag\"><span>Smart cities<\/span> <span>Traffic management<\/span><\/p>\n<\/div>\n<\/div>\n<\/article>\n<\/li>\n\n<li class=\"gb-loop-item post-2091 case-study type-case-study status-publish has-post-thumbnail hentry category-security category-smart-cities tag-ai-security-monitoring tag-case-study tag-crowd-analytics tag-crowd-counting tag-intrusion-detection tag-ip-camera-security tag-legacy-camera-integration tag-local-network tag-privacy-first-ai tag-security tag-security-monitoring tag-theme-park tag-video-management-system tag-visitor-flow tag-vms\">\n<article class=\"mai-card-article gb-element-ff0abb7c\">\n<a href=\"https:\/\/marshallai.com\/fi\/case-study\/sarkanniemi-crowd-analytics-and-security-using-edgeai\/\"><img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"512\" alt=\"\" data-media-id=\"2092\" class=\"gb-media-264cf724\" src=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/sarkanniemi-hero-768x512.webp\" srcset=\"https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/sarkanniemi-hero-768x512.webp 768w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/sarkanniemi-hero-300x200.webp 300w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/sarkanniemi-hero-1024x683.webp 1024w, https:\/\/marshallai.com\/wp-content\/uploads\/2026\/04\/sarkanniemi-hero.webp 1500w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/><\/a>\n\n\n\n<div class=\"gb-element-b7e65b9a\">\n<span class=\"gb-text mai-card-article-title\"><a href=\"https:\/\/marshallai.com\/fi\/case-study\/sarkanniemi-crowd-analytics-and-security-using-edgeai\/\">Upgrading Legacy Infrastructure: Crowd Analytics &amp; Security Without Cloud Dependency<\/a><\/span>\n\n\n\n<div>\n<p class=\"gb-text mai-card-article-text\">Learn how we utilized S\u00e4rk\u00e4nniemi theme park&#8217;s existing camera infrastructure to process live video on a closed-loop local area network \u2013 enabling security and crowd flow analytics while maintaining privacy.<\/p>\n<\/div>\n\n\n\n<div class=\"gb-element-62fba4e0\">\n<p class=\"gb-text mai-article-card-tag\"><span>Security<\/span> <span>Smart cities<\/span><\/p>\n<\/div>\n<\/div>\n<\/article>\n<\/li>\n<\/ul><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"mai-section\">\n<div class=\"mai-container_inner-content\">\n<div class=\"gb-element-002df6c4\">\n<h2 class=\"gb-text gbp-section__headline mai-reveal mai-headline\">Answers about mobility analytics<\/h2>\n<\/div>\n<\/div>\n\n\n\n<div class=\"mai-container_inner-content\">\n<div class=\"gb-accordion\" data-transition=\"fade\">\n<div class=\"gb-accordion__item gbp-card--border gb-accordion__item-a91230e8\">\n<div role=\"button\" tabindex=\"0\" class=\"gb-accordion__toggle gb-accordion__toggle-95a2a1e6\" id=\"gb-accordion-toggle-95a2a1e6\">\n<h3 class=\"gb-text gbp-card__title gb-text-8462845e\">Can our team still view the live video feeds for monitoring or system debugging without violating GDPR?<\/h3>\n\n\n\n<span class=\"gb-accordion__toggle-icon gb-accordion__toggle-icon-837853b1\"><span class=\"gb-accordion__toggle-icon-open\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"208 96 128 176 48 96\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><span class=\"gb-accordion__toggle-icon-close\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"48 160 128 80 208 160\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><\/span>\n<\/div>\n\n\n\n<div class=\"gb-accordion__content\" id=\"gb-accordion-content-78547f3f\">\n<div class=\"gb-element-32d8ed4e\">\n<p class=\"gb-text\">Yes. The AFSA platform includes a native, real-time blurring node designed specifically for European privacy mandates. Before any video stream is transmitted to an operator&#8217;s dashboard or debugging view, the platform automatically applies a privacy mask over all human faces and vehicle registration plates. This processing happens locally. It allows your operations team to monitor traffic flows and verify system health visually, while guaranteeing that no personally identifiable information (PII) is ever exposed, recorded, or transmitted.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gb-accordion__item gbp-card--border gb-accordion__item-ea60d4d0\">\n<div role=\"button\" tabindex=\"0\" class=\"gb-accordion__toggle gb-accordion__toggle-0a3cc5d2\" id=\"gb-accordion-toggle-0a3cc5d2\">\n<h3 class=\"gb-text gbp-card__title gb-text-2e32a8ee\">Do we need to replace our existing traffic and security cameras to use your analytics?<\/h3>\n\n\n\n<span class=\"gb-accordion__toggle-icon gb-accordion__toggle-icon-875e7dfc\"><span class=\"gb-accordion__toggle-icon-open\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"208 96 128 176 48 96\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><span class=\"gb-accordion__toggle-icon-close\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"48 160 128 80 208 160\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><\/span>\n<\/div>\n\n\n\n<div class=\"gb-accordion__content\" id=\"gb-accordion-content-7b045ed7\">\n<div class=\"gb-element-aa0bdc02\">\n<p class=\"gb-text\">No. MarshallAI is entirely hardware-agnostic and built to leverage your existing infrastructure. The platform natively integrates with standard IP security cameras via <strong>RTSP or ONVIF<\/strong> streaming protocols, as well as legacy analog feeds. This means you can transform your current municipal CCTV network into an intelligent sensor grid without the capital expense or construction disruptions of installing new cameras or digging up roadways for induction loops.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gb-accordion__item gbp-card--border gb-accordion__item-4c5dbfe6\">\n<div role=\"button\" tabindex=\"0\" class=\"gb-accordion__toggle gb-accordion__toggle-d836ce49\" id=\"gb-accordion-toggle-d836ce49\">\n<h3 class=\"gb-text gbp-card__title gb-text-19946ecb\">How reliable is the system&#8217;s detection accuracy during winters, heavy fog, or dark conditions?<\/h3>\n\n\n\n<span class=\"gb-accordion__toggle-icon gb-accordion__toggle-icon-a288c271\"><span class=\"gb-accordion__toggle-icon-open\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"208 96 128 176 48 96\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><span class=\"gb-accordion__toggle-icon-close\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"48 160 128 80 208 160\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><\/span>\n<\/div>\n\n\n\n<div class=\"gb-accordion__content\" id=\"gb-accordion-content-01fabe42\">\n<div class=\"gb-element-57f65e32\">\n<p class=\"gb-text\">The AFSA engine is engineered and field-tested in Finland to withstand the very varied northern conditions. Our system maintains over <strong>98%<\/strong> tracking and classification accuracy in harsh, outdoor real-world conditions like heavy snow, thick fog, and low-light winter environments. In controlled industrial environments, the system achieves over <strong>99.9995%<\/strong> accuracy. Using heated and properly placed cameras we can minimize weather effects.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gb-accordion__item gbp-card--border gb-accordion__item-078c35d8\">\n<div role=\"button\" tabindex=\"0\" class=\"gb-accordion__toggle gb-accordion__toggle-258caa04\" id=\"gb-accordion-toggle-258caa04\">\n<h3 class=\"gb-text gbp-card__title gb-text-5c4a23a9\">We use Swarco and Yunex controllers. Can MarshallAI actuate our existing traffic signals directly?<\/h3>\n\n\n\n<span class=\"gb-accordion__toggle-icon gb-accordion__toggle-icon-f4135bb2\"><span class=\"gb-accordion__toggle-icon-open\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"208 96 128 176 48 96\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><span class=\"gb-accordion__toggle-icon-close\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"48 160 128 80 208 160\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><\/span>\n<\/div>\n\n\n\n<div class=\"gb-accordion__content\" id=\"gb-accordion-content-a1e9fe15\">\n<div class=\"gb-element-30d2049d\">\n<p class=\"gb-text\">Yes. MarshallAI bridges the gap between AI visual tracking and European roadside hardware. The system features native support for European transportation protocols like <strong>RSMP<\/strong> (the dominant standard across Scandinavia) and <strong>OCIT<\/strong> (Central Europe), alongside <strong>DATEX II<\/strong> for regional traffic data exchange. Rather than just collecting passive statistics, the system communicates directly with your existing traffic controllers to trigger, live signal actuation\u2014allowing you to eliminate &#8220;dead seconds&#8221; at intersections dynamically.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gb-accordion__item gbp-card--border gb-accordion__item-26f20eee\">\n<div role=\"button\" tabindex=\"0\" class=\"gb-accordion__toggle gb-accordion__toggle-602eedef\" id=\"gb-accordion-toggle-602eedef\">\n<h3 class=\"gb-text gbp-card__title gb-text-277dd59c\">Can the platform track and differentiate between micro-mobility users, like cyclists and e-scooters, or does it just count &#8220;pedestrians&#8221;?<\/h3>\n\n\n\n<span class=\"gb-accordion__toggle-icon gb-accordion__toggle-icon-1b628912\"><span class=\"gb-accordion__toggle-icon-open\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"208 96 128 176 48 96\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><span class=\"gb-accordion__toggle-icon-close\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"48 160 128 80 208 160\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><\/span>\n<\/div>\n\n\n\n<div class=\"gb-accordion__content\" id=\"gb-accordion-content-a64c06a8\">\n<div class=\"gb-element-c451bf04\">\n<p class=\"gb-text\">Our platform provides granular, multi-modal classification. It does not generalize vulnerable road users (VRUs). The AFSA models are trained to clearly differentiate passenger cars, delivery vans, heavy freight trucks, transit buses, cyclists, e-scooter riders, and pedestrians simultaneously. This high-fidelity classification allows us to generate accurate <strong>Turning Movement Counts (TMC)<\/strong> and measure precise <strong>Modal Share<\/strong> data.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"gb-accordion__item gbp-card--border gb-accordion__item-1898b492\">\n<div role=\"button\" tabindex=\"0\" class=\"gb-accordion__toggle gb-accordion__toggle-dcc0b74b\" id=\"gb-accordion-toggle-dcc0b74b\">\n<h3 class=\"gb-text gbp-card__title gb-text-6f6f88fc\">What is the turnaround time for training and deploying the system?<\/h3>\n\n\n\n<span class=\"gb-accordion__toggle-icon gb-accordion__toggle-icon-75855594\"><span class=\"gb-accordion__toggle-icon-open\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"208 96 128 176 48 96\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><span class=\"gb-accordion__toggle-icon-close\"><svg aria-hidden=\"true\" viewbox=\"0 0 256 256\"><rect width=\"256\" height=\"256\" fill=\"none\"><\/rect><polyline points=\"48 160 128 80 208 160\" fill=\"none\" stroke=\"currentColor\" stroke-linecap=\"round\" stroke-linejoin=\"round\" stroke-width=\"16\"><\/polyline><\/svg><\/span><\/span>\n<\/div>\n\n\n\n<div class=\"gb-accordion__content\" id=\"gb-accordion-content-cb0c35fa\">\n<div class=\"gb-element-9689adbf\">\n<p class=\"gb-text\">MarshallAI is optimized for rapid deployment. Our deployment benchmarks prove that a custom, highly accurate functional model can be built, trained, and deployed from as few as <strong>77 reference images in under 100 minutes<\/strong>. But to get the most accuracy model we usually refine the model during several months to capture different lighting and weather conditions.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Track, classify, and analyze multi-modal traffic and pedestrian movement in real time. Edge-processed traffic analytics for your existing CCTV infrastructure.<\/p>","protected":false},"featured_media":2176,"template":"","meta":{"content-type":"","footnotes":""},"categories":[44],"tags":[],"class_list":["post-3036","solution","type-solution","status-publish","has-post-thumbnail","hentry","category-smart-cities"],"_links":{"self":[{"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/solution\/3036","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/solution"}],"about":[{"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/types\/solution"}],"version-history":[{"count":9,"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/solution\/3036\/revisions"}],"predecessor-version":[{"id":3758,"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/solution\/3036\/revisions\/3758"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/media\/2176"}],"wp:attachment":[{"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/media?parent=3036"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/categories?post=3036"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/tags?post=3036"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}