Object Detection
Object detection is a computer vision technology that recognizes, locates and counts objects in images or video, such as helmets, vests, vehicles, goods or product defects. Detections are passed to dashboards and notifications so they can be acted upon.
Safety Monitoring, Visual Inspection
Business problems
Supervisors cannot watch every work area at all times.
Goods or vehicle counts are recorded by hand and often differ.
Manual visual inspection is tiring and results are inconsistent.
What we build
Detect PPE usage and people in hazardous zones.
Recognize vehicle types and license plates at gates or loading areas.
Count goods, vehicles or people passing specific points.
Detect visual defects on products along the production line.
Example applications
Footage or images from the real site to train and test models.
A proof of concept in one area before expanding.
Accuracy and false alarm rates are measured with the operations team.
Architecture & approach
Objects, conditions and events to detect.
Existing models for common objects, additional training for specific ones.
Thresholds, zones and schedules that decide when alerts are sent.
Results flow into dashboards, alerts or operational systems.
Technology & integration
Deployment
| Option | Description | Best for |
|---|---|---|
| Edge AI | Detection on a device near the camera for fast response. |
|
| On-premise server | Many cameras processed on internal servers. |
|
Specializations
Face-based identity verification for access, attendance and entry/exit tracking, integrated with your systems.
Explore Face RecognitionTouchless face recognition attendance connected directly to HRIS and payroll.
Explore Camera AttendanceOnline multi-camera CCTV monitoring, event detection, alerts and event history dashboards.
Explore Video AnalyticsFace recognition, object detection and video analytics that turn cameras into operational data.
Explore Computer VisionFAQ
Tell us about your context and goals. We will help map the solution, priorities and an initial estimate.