Turn Cameras Into Real-Time Business Intelligence
Cameras record footage nobody watches, while safety, security and quality issues slip through.
Real-time vision that detects, counts, verifies and alerts — on the cloud or on-device at the edge.
Typical timeline: 3-6 Weeks.
Capabilities
- Face recognition, verification & attendance
- Object / vehicle detection & ANPR
- PPE / safety monitoring & smart surveillance
- Quality inspection & retail analytics
- Edge / offline AI (ONNX, real-time inference)
What you receive
- Trained & Quantized INT8 Model Weights
- Real-Time Inference Microservice (60+ FPS)
- Edge Jetson Linux Microkernel Flashing
- RTSP / 4K Camera Ingestion Pipeline
Technology
YOLOv8x · RT-DETR · NVIDIA TensorRT · ByteTrack · Jetson Orin · PyTorch
Frequently asked questions
- Can your computer vision models run completely offline on edge hardware?
- Yes. We quantize neural networks with TensorRT and ONNX Runtime to execute high-FPS inference locally on NVIDIA Jetson or edge gateways with zero external internet dependency.