Computer Vision Solutions
From manufacturing defect detection to retail foot-traffic analysis, we build custom Computer Vision models that process images and live video streams in real-time, automating visual inspections that normally require a human eye.
Core Features
Real-Time Object Detection
Identifying specific items (e.g., hardhats, inventory SKUs, vehicles) in live video streams with millisecond latency.
Automated Quality Control
Inspecting products on a manufacturing line to detect micro-scratches, misalignments, or missing components instantly.
Facial Recognition & Biometrics
Secure, opt-in biometric authentication for physical access control or secure digital logins.
Edge Deployment
Running the AI models directly on local cameras or IoT devices (NVIDIA Jetson) so they work even without an internet connection.
Our Process
Hardware & Camera Auditing
Week 1Evaluating your existing camera feeds (RTSP/IP cameras) to ensure the resolution and lighting are sufficient for AI analysis.
Data Collection & Annotation
Week 2-3Gathering thousands of images of your specific use case (e.g., 'defective parts') and manually bounding-box labeling them to train the AI.
Model Training
Week 4-5Training state-of-the-art vision models (YOLOv9, Detectron) on your labeled data until it achieves the required accuracy threshold.
Edge/Cloud Optimization
Week 6Compressing the trained model (using TensorRT) so it can run flawlessly on cheap edge devices or efficiently in the cloud.
Integration & Alerting
Week 7Connecting the vision pipeline to your systems. If a defect is spotted, an alarm sounds or an API pings the factory floor manager.
Technologies We Use
FAQ
Do we need to buy expensive new 4K cameras?
What is 'Edge AI' and why do we need it?
How do you handle privacy with video feeds?
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