S/03Computer Vision
Computer Vision & Edge AI
Overview
We deliver real-time computer vision systems deployed on edge hardware, optimized for latency, accuracy, and power constraints. From multi-object tracking with YOLO to custom classification pipelines on NVIDIA Jetson Orin, we handle the full stack — model training, TensorRT optimization, ONNX export, and production deployment with monitoring dashboards.
Capabilities
What we deliver.
The list below maps to the deliverables we'll write into the proposal — every line is a system we've shipped before.
- /01Object Detection & Multi-Object Tracking (YOLOv9–v11)
- /02Video Surveillance & Smart Alert Systems
- /03TensorRT / ONNX Optimization for Edge Deployment
- /04NVIDIA Jetson Orin & ARM64 Tuning
- /05Face Recognition & Custom Classification Pipelines
Outcomes
What you get.
B/01
30%+ faster inference with TensorRT optimization
B/02
25% fewer false positives with tuned pipelines
B/03
Real-time processing on edge hardware
B/04
95%+ system uptime in production deployments
The stack
Tools we'll use.
OpenCV·TensorRT·ONNX·NVIDIA Jetson·CUDA·YOLOv9-v11·GOTURN·
/08Let's build