Visual target
Define the person, PPE item, vehicle, plate, smoke, flame, object, route, surface condition, or equipment feature the camera needs to see.
Algorithm topics
Explore what each model detects, the camera conditions it needs, its practical limits, and how it is deployed on local AI devices.
Algorithm
AI algorithm for detecting helmet and reflective vest compliance in factories, construction sites, warehouses, parks, and industrial roads.
Algorithm
AI smoke and flame detection for gas stations, factories, warehouses, parks, outdoor yards, and fire-risk camera scenes.
Algorithm
AI detection for restricted-area intrusion, line crossing, perimeter protection, forbidden-zone entry, loitering, and abnormal stay events.
Algorithm
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.
Algorithm
AI detection for smoking and phone-use behavior in gas stations, factories, warehouses, hazardous-operation areas, and restricted work zones.
Algorithm
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.
Algorithm
Local AI video detection for e-bikes and other non-motor vehicles entering elevator lobbies, elevator cars, and controlled building access areas.
Algorithm
AI video analytics for configured duty posts, control rooms, and workstations where staff presence, absence, or sleeping-on-duty events require review.
Algorithm
AI video analytics for vehicles, goods, and temporary obstructions occupying designated fire lanes, emergency access routes, and operational corridors.
Algorithm
Video analytics for visible camera obstruction, substantial view shift, black screen, stream interruption, and other conditions that can affect CCTV availability.
Algorithm
Customizable AI video analytics for visible machinery states, equipment presence, operating indicators, and defined mechanical actions in industrial camera scenes.
Algorithm
AI video analytics for visible conveyor-belt risks such as material accumulation, major surface anomalies, access intrusion, and defined operating-area conditions.
Algorithm
Road direction, controlled areas, abnormal stay, site traffic rules, and optional plate association.
Algorithm
Visible water, oil, potholes, obstructions, access-route conditions, and camera coverage limits.
Algorithm deployment library
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.
Define the person, PPE item, vehicle, plate, smoke, flame, object, route, surface condition, or equipment feature the camera needs to see.
Check position, target size, focus, light, glare, weather, occlusion, background changes, and whether the view remains stable during normal work.
Use regions, lines, direction, dwell time, schedules, thresholds, repeat intervals, and approved exceptions to connect detection with site practice.
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
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.