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Computer Vision Services
We build computer vision systems that detect, classify, and track objects in real-time. From retail analytics to quality control, our models ship production-ready with monitoring and edge deployment options.
Customer
"Can this work with our existing CCTV cameras for retail analytics?"
Response
"Yes. We integrate with RTSP streams from any IP camera. Our models process at 25+ FPS for real-time footfall counting and shelf monitoring."
Tested on 500+ retail locations with 99.2% detection accuracy.
State-of-the-art frameworks and tools for production CV systems
End-to-end computer vision solutions from data labeling to production deployment, with ongoing support and model updates.
Models fine-tuned on your data for optimal accuracy on your specific objects, environments, and edge cases.
RESTful APIs and SDKs for easy integration with your existing applications, dashboards, and workflows.
Optimized models for NVIDIA Jetson, Intel NCS, or mobile devices with 30+ FPS inference.
Real-time metrics on detection counts, accuracy drift, and system health with alerting.
A proven methodology for delivering computer vision systems that work in production.
Evaluate your existing images/video, define detection targets, and establish accuracy benchmarks.
Train custom models or fine-tune pre-trained architectures on your specific use case with labeled data.
Deploy to cloud, edge, or hybrid environments with API endpoints, monitoring, and alerting.
Continuous model improvement from production feedback, scaling to additional locations or use cases.
Flexible options from proof-of-concept to full deployment.
Single use case with sample data. Validates accuracy and integration feasibility.
$10,000 - $20,000
Production deployment with custom training, API, edge optimization, and monitoring.
$25,000 - $60,000
Ongoing model updates, drift monitoring, and expansion to new use cases.
$6,000 - $15,000/mo
Results from computer vision implementations we've delivered.
"Reduced manual QC inspection time by 60%. The defect detection model catches issues our team missed."
"Footfall analytics gave us insights we never had before. We optimized store layouts based on real data."
"The edge deployment runs 24/7 on our factory floor with zero downtime in 8 months."
"Reduced manual QC inspection time by 60%. The defect detection model catches issues our team missed."
With quality training data, we typically achieve 95%+ accuracy for object detection and 98%+ for OCR. We establish benchmarks early and iterate until targets are met.
Yes. We integrate with any IP camera via RTSP, USB cameras, or cloud-stored images. No hardware replacement required in most cases.
We implement privacy-by-design: on-device processing, no cloud storage of faces, GDPR-compliant data handling, and opt-out mechanisms where required.
Under 50ms per frame on GPU, under 100ms on edge devices like NVIDIA Jetson. Suitable for real-time video at 25+ FPS.
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