Algorithm topics

AI video analytics algorithms for industrial safety and security.

Explore what each model detects, the camera conditions it needs, its practical limits, and how it is deployed on local AI devices.

Algorithm

Helmet and Reflective Vest Detection

AI algorithm for detecting helmet and reflective vest compliance in factories, construction sites, warehouses, parks, and industrial roads.

  • Missing helmet / helmet wearing status
  • Missing reflective vest / vest wearing status
  • Person presence in required PPE areas
  • Project-specific workwear color or uniform rules through custom training

Algorithm

Smoke and Flame Detection

AI smoke and flame detection for gas stations, factories, warehouses, parks, outdoor yards, and fire-risk camera scenes.

  • Smoke shape and visible smoke events
  • Flame and open-fire targets
  • Fire-risk regions with schedule and ROI rules
  • Alarm snapshots and full-scene evidence

Algorithm

Area Intrusion and Line Crossing Detection

AI detection for restricted-area intrusion, line crossing, perimeter protection, forbidden-zone entry, loitering, and abnormal stay events.

  • Restricted-area entry
  • Line crossing with direction rules
  • Loitering and abnormal stay by duration
  • Person and vehicle target filtering

Algorithm

Vehicle Parking, Fire Lane Occupation and License Plate Detection

AI vehicle analytics for parking violations, fire lane occupation, channel occupation, license plate recognition, and vehicle-event records in parks, warehouses, factories, and gas stations.

  • Vehicle parking or abnormal stay in restricted zones
  • Fire lane or channel occupation
  • License plate OCR and vehicle event association
  • Non-designated vehicle presence in unloading or special zones

Algorithm

Smoking and Phone Use Detection

AI detection for smoking and phone-use behavior in gas stations, factories, warehouses, hazardous-operation areas, and restricted work zones.

  • Suspected smoking behavior
  • Handheld phone use or phone-call posture
  • Violation events in configured high-risk regions
  • Combined alarms with smoke/fire, vehicle exception, or intrusion rules

Algorithm

Custom AI Algorithm Training

Custom AI model training workflow for uploading field materials, GPU training, model evaluation, and edge deployment to AI cameras, AI edge boxes, and AI NVRs.

  • Special industry objects and equipment states
  • Custom workwear, color, labels, and signs
  • Site-specific behavior or placement rules
  • New targets for AI cameras, AI edge boxes, and AI NVRs

Algorithm

E-Bike and Elevator Entry Detection

Local AI video detection for e-bikes and other non-motor vehicles entering elevator lobbies, elevator cars, and controlled building access areas.

  • E-bikes and other configured non-motor vehicle targets entering a controlled area
  • Vehicle presence or extended stay in an elevator lobby or entrance
  • Local snapshots, time records, and platform events for review
  • Optional local voice reminder or platform notification according to project design

Algorithm

Off-Post and Sleeping-on-Duty Detection

AI video analytics for configured duty posts, control rooms, and workstations where staff presence, absence, or sleeping-on-duty events require review.

  • Person presence or absence within a configured duty area
  • Extended absence based on a defined schedule and duration
  • Possible sleeping-on-duty posture where the view supports a reliable review
  • Snapshots and event records for supervisor review

Algorithm

Fire Lane and Access Route Occupation Detection

AI video analytics for vehicles, goods, and temporary obstructions occupying designated fire lanes, emergency access routes, and operational corridors.

  • Vehicles staying in a defined fire lane or access route
  • Configured objects or goods occupying a marked corridor
  • Stay duration, snapshot, full-scene image, and camera information
  • Optional association with readable license plate information where conditions allow

Algorithm

Camera Obstruction, View Shift, and Video Availability Detection

Video analytics for visible camera obstruction, substantial view shift, black screen, stream interruption, and other conditions that can affect CCTV availability.

  • Visible obstruction or coverage loss in a fixed camera scene
  • Substantial camera movement or unexpected scene change
  • Black screen, stream loss, or apparent video interruption where supported by the input
  • Device, channel, time, and exception records for maintenance review

Algorithm

Visible Machinery Operating-State Detection

Customizable AI video analytics for visible machinery states, equipment presence, operating indicators, and defined mechanical actions in industrial camera scenes.

  • Defined visible running, stopped, open, closed, present, or absent equipment states
  • Specified machinery or vehicle movement within a configured zone
  • Custom industry targets trained from field images and video
  • Snapshots and time records for operations review or system integration

Algorithm

Conveyor Belt Risk and Material Condition Detection

AI video analytics for visible conveyor-belt risks such as material accumulation, major surface anomalies, access intrusion, and defined operating-area conditions.

  • Defined material accumulation or blockage conditions visible at a transfer point
  • Personnel entry into configured conveyor or maintenance areas
  • Specified visible surface, alignment, or operating-area anomalies where trained for the scene
  • Event snapshots and structured output for operations review

Algorithm

Industrial Vehicle Wrong-Way and Restricted-Zone Detection

Road direction, controlled areas, abnormal stay, site traffic rules, and optional plate association.

Algorithm

Industrial Ground Risk Detection

Visible water, oil, potholes, obstructions, access-route conditions, and camera coverage limits.

Algorithm deployment library

The algorithm is one part of a video event; the site rule makes it usable

Each algorithm page explains a specific visual task and its deployment conditions. Detection needs a camera view that shows the target at a usable size, a rule that states when the observation matters, and evidence that allows a project team to review the result. This approach helps avoid treating a model label as a complete project design.

Visual target

Define the person, PPE item, vehicle, plate, smoke, flame, object, route, surface condition, or equipment feature the camera needs to see.

Camera and image conditions

Check position, target size, focus, light, glare, weather, occlusion, background changes, and whether the view remains stable during normal work.

Rule configuration

Use regions, lines, direction, dwell time, schedules, thresholds, repeat intervals, and approved exceptions to connect detection with site practice.

Review and improvement

Retain event evidence, review uncertain cases, and use representative samples to refine a rule, re-aim a camera, or assess a custom model version.

Project inquiry

Tell us your camera environment and required AI analytics.

For the first version this site uses a lightweight email-based inquiry flow. It avoids a database and keeps the English site simple until inquiry volume justifies a dedicated CRM integration.

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