Computer Vision Systems
We build custom computer vision solutions — from real-time object detection and quality inspection to video analytics and document intelligence — deployed to edge devices or cloud at production scale.
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Our Capabilities
Object Detection & Classification
Detect, locate, and classify objects in images and video in real time. We build custom models using YOLO, Detectron2, and vision transformers trained on your specific domain and data.
Image Segmentation
Pixel-level understanding of scenes with semantic and instance segmentation. Ideal for medical imaging, autonomous systems, satellite imagery analysis, and industrial quality control.
Video Analytics
Extract intelligence from video streams — activity recognition, object tracking, crowd counting, anomaly detection, and behavioral analysis for security, retail, and industrial applications.
OCR & Document Intelligence
Extract and structure text from scanned documents, handwriting, receipts, and ID cards using deep learning OCR. Goes beyond text extraction to understand document layout and relationships.
Quality Inspection Systems
Automated visual inspection for manufacturing — detect surface defects, dimensional errors, assembly mistakes, and contamination with superhuman consistency at production line speeds.
Facial Recognition & Biometrics
Compliant face detection, recognition, and liveness detection for access control, identity verification, and attendance systems. Built with privacy-by-design and regulatory compliance in mind.
How We Work
Data Assessment
We evaluate your existing image/video data, identify annotation requirements, assess data quality, and determine if additional collection or augmentation is needed to train a reliable model.
Model Selection
We select the optimal architecture — YOLO variants for real-time detection, ViT for high-accuracy classification, SAM for segmentation — and choose between training from scratch or fine-tuning foundation models.
Training & Validation
Rigorous model training with cross-validation, precision/recall optimization, and domain-specific augmentation. We benchmark against your accuracy and latency requirements before signing off.
Edge / Cloud Deploy
Optimized deployment to your target environment — NVIDIA Jetson and Raspberry Pi for edge, or GPU cloud for scale. Model quantization and TensorRT optimization for maximum throughput.
Common Questions
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