Computer Vision Systems
We design end-to-end computer vision systems that emulate human perception to analyze visual data in real-time. Whether it's detecting vehicles on roads, analyzing medical scans, recognizing retail behaviors, or deploying visual analytics at scale, our solutions combine deep learning models like CNNs and transformers with OpenCV and ONNX-accelerated deployment pipelines. These systems operate on cloud, edge, or mobile platforms for performance-critical applications in healthcare, logistics, security, and commerce.
Key Capabilities
- Real-time vehicle and license plate recognition using YOLOv8 and EasyOCR
- In-store customer movement analysis via overhead CCTV and pose estimation
- AI-assisted medical imaging for radiology, cardiology, and pathology applications
- Human detection and activity recognition in surveillance systems
- 3D vision systems using depth sensors, stereo vision, and LiDAR for robotics
- Custom object detection, tracking, and segmentation pipelines with model explainability
Computer Vision Use Cases
| Industry | Application | Vision Model |
|---|---|---|
| Transportation | Traffic flow monitoring and ANPR (plate reading) | YOLOv8 + OCR + OpenCV |
| Retail | Customer movement and product heatmap analytics | PoseNet + OpenPose + TensorFlow |
| Healthcare | Tumor detection and X-ray anomaly segmentation | UNet + VGG + ResNet on medical datasets |
| Security | Intrusion detection and behavior recognition | DeepSort + EfficientDet + Motion Tracking |
Frameworks and Tools We Use
PyTorch / TensorFlow
OpenCV / Dlib / Scikit-Image
ONNX / TensorRT / TFLite
YOLOv8 / UNet / Detectron2
FastAPI for real-time inference
CVAT / LabelImg for annotation
Vision Pipeline Workflow
Collect and annotate image or video datasets
Train or fine-tune detection and segmentation models
Convert models to ONNX or TFLite for acceleration
Build inference pipelines (video/image stream)
Evaluate accuracy, latency, and recall
Deploy to edge, cloud, or hybrid infrastructure
Why Choose Our Vision Systems?
- Real-time and batch vision pipelines with low latency
- Custom-trained models based on your data and domain
- GDPR-compliant anonymization and edge data control
- Optimized inference using GPU, TPU, or CPU fallback
- Seamless integration via REST/WS APIs for live dashboards
Empower your systems with intelligent visual perception to detect, decide, and act at scale — with full customization from model to deployment.