Burhan Vision specializes in computer vision, surveillance analytics, healthcare AI, sports technology, educational tools, and industrial automation. Our portfolio spans 150+ projects across these domains, leveraging cutting-edge models like YOLO, RT-DETR, and custom deep learning architectures.
Development timelines vary based on complexity. A focused computer vision model can take 4-8 weeks, while a full-stack AI application with mobile or web interfaces typically requires 2-4 months. We follow agile methodology with regular milestone demos to keep you informed throughout.
Absolutely. We design our AI solutions with integration in mind. Whether it is connecting to existing CCTV infrastructure, deploying on AWS IoT, embedding into Telegram bots, or building REST APIs for your backend, we ensure seamless integration with your current technology stack.
Our models consistently achieve high accuracy rates. For example, our fight detection system reaches 97.5% confidence, the exercise classifier achieves 96% accuracy, and our body measurement system delivers 98.2% accuracy. We rigorously benchmark and validate all models before deployment.
Yes, we offer comprehensive post-deployment support including model retraining, performance monitoring, bug fixes, and feature updates. Our maintenance plans ensure your AI solution continues to perform optimally as your data and requirements evolve.
We work with PyTorch, TensorFlow, OpenCV, YOLO (v8/v11), RT-DETR, MediaPipe, and custom architectures. For deployment, we use AWS, Docker, FastAPI, Flask, React, React Native, and Telegram Bot API. Our stack is chosen to match each project's specific requirements.
Yes, we optimize models for edge deployment using techniques like quantization, pruning, and ONNX conversion. Our solutions run on NVIDIA Jetson, mobile devices (iOS/Android), Raspberry Pi, and cloud servers depending on latency and processing requirements.
Data privacy is a top priority. We implement end-to-end encryption, on-premise processing options, GDPR-compliant data handling, and anonymization techniques. For surveillance projects, we offer edge processing to keep sensitive data on-site without cloud transmission.
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