{"id":3088,"date":"2026-08-25T17:18:13","date_gmt":"2026-08-25T14:18:13","guid":{"rendered":"https:\/\/marshallai.com\/?page_id=3088"},"modified":"2026-09-02T16:03:42","modified_gmt":"2026-09-02T13:03:42","slug":"capabilities","status":"publish","type":"page","link":"https:\/\/marshallai.com\/fi\/capabilities\/","title":{"rendered":"Capabilities"},"content":{"rendered":"
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MarshallAI Capabilities<\/strong><\/h1>\n\n\n\n

AFSA<\/a> is MarshallAI’s node based computer vision platform. Each capability below is a building block you can combine, retrain, and deploy for your environment, on premise or in the cloud, without writing code.<\/p>\n\n\n\n

Explore what the platform can do, then see these capabilities applied to real problems on our Solutions<\/a> and Case Studies<\/a> pages.<\/p>\n\n\n\n

Detection & Inspection<\/strong><\/h3>\n\n\n\n

Object Detection & Classification<\/strong>
Identifies and categorizes objects, defects, or conditions in real time, from a single frame or a continuous video stream.<\/p>\n\n\n\n

Anomaly & Defect Detection<\/strong>
Flags deviations from a learned baseline, including damage, contamination, or irregularities that were not explicitly programmed in advance.<\/p>\n\n\n\n

Assembly & Presence Verification<\/strong>
Confirms that all required parts, components, or labels are present and correctly positioned before a product moves downstream.<\/p>\n\n\n\n

Material & Surface Grading<\/strong>
Classifies surface quality or material condition against defined grading thresholds.<\/p>\n\n\n\n

Color Detection & Verification<\/strong>
Identifies and verifies color against a defined reference, catching mismatched print, packaging, or product color before it reaches the next stage of the line.<\/p>\n\n\n\n

Identification & Recognition<\/strong><\/h3>\n\n\n\n

OCR & Code Reading<\/strong>
Reads and verifies printed or embossed text, 1D barcodes, and 2D codes such as DataMatrix and QR, including best before dates, batch codes, and serial numbers, even on curved or low contrast surfaces.<\/p>\n\n\n\n

License Plate Recognition (ALPR\/ANPR)<\/strong>
Reads vehicle plates and cross references them against a database.<\/p>\n\n\n\n

Attribute Recognition<\/strong>
Identifies specific attributes of a detected person or vehicle, such as make, color, or carried objects.<\/p>\n\n\n\n

Measurement & Counting<\/strong><\/h3>\n\n\n\n

Dimensional Measurement<\/strong> Measures height, width, or volume of an object.<\/p>\n\n\n\n

Object Counting & Enumeration<\/strong> Counts units, parts, or occurrences within a frame or across a production run.<\/p>\n\n\n\n

Tracking & Behavioral Intelligence<\/strong><\/h3>\n\n\n\n

Multi-Object Tracking<\/strong>
Assigns and maintains a unique identity for each detected object as it moves across a scene or between camera views.<\/p>\n\n\n\n

Crowd & Occupancy Analytics<\/strong>
Measures density, movement patterns, and dwell time across a monitored area.<\/p>\n\n\n\n

Situational Awareness & Pattern-of-Life Analysis<\/strong>
Builds a real time picture of activity in an area of interest and highlights deviations from expected patterns.<\/p>\n\n\n\n

Multi-Sensor Intelligence & Actuation<\/strong><\/h3>\n\n\n\n

Multi-Modal Sensor Fusion<\/strong>
Combines video, thermal, acoustic, and RF inputs into a single synchronized detection output.<\/p>\n\n\n\n

Acoustic & RF Signal Detection<\/strong>
Maps the baseline signal environment of an area and isolates unknown or anomalous emissions.<\/p>\n\n\n\n

Real-Time Actuation & Control<\/strong>
Triggers a physical or digital response, such as a reject arm, gate, or PLC signal, directly from a detection event with no manual step in between.<\/p>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"

MarshallAI Capabilities AFSA is MarshallAI’s node based computer vision platform. Each capability below is a building block you can combine, retrain, and deploy for your environment, on premise or in the cloud, without writing code. Explore what the platform can do, then see these capabilities applied to real problems on our Solutions and Case Studies … Lue lis\u00e4\u00e4<\/a><\/p>","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"content-type":"","page_theme":"","footnotes":""},"class_list":["post-3088","page","type-page","status-publish"],"_links":{"self":[{"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/pages\/3088","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/comments?post=3088"}],"version-history":[{"count":15,"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/pages\/3088\/revisions"}],"predecessor-version":[{"id":3834,"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/pages\/3088\/revisions\/3834"}],"wp:attachment":[{"href":"https:\/\/marshallai.com\/fi\/wp-json\/wp\/v2\/media?parent=3088"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}