Transform your image and video data into actionable business insights. We design and implement custom CNN-based object detection, semantic segmentation, and classification pipelines using frameworks like PyTorch and TensorFlow. Our solutions serve quality control, medical imaging analysis, and surveillance applications.
We architect custom computer vision solutions using PyTorch, TensorFlow, and OpenCV to solve your specific business challenges. Our expertise spans object detection, semantic segmentation, and optical character recognition – delivering measurable efficiency gains in quality control, surveillance, and process automation.
Object Detection and Recognition
Transform your business operations with AI-powered visual analytics. We design and implement custom computer vision solutions using proven architectures like YOLO and Faster R-CNN, delivering real-time object detection at 45+ FPS. Ideal for quality control, security, and inventory management applications.
Image Segmentation
We specialize in implementing U-Net and Mask R-CNN architectures to deliver pixel-level image analysis. Our solutions target medical imaging, manufacturing quality control, and agricultural monitoring applications, with customizable deep learning models achieving industry-standard segmentation benchmarks to meet your specific needs.
Visual Tracking
Transform your video analytics with deep learning-based tracking powered by Siamese neural networks and correlation filtering. Our customizable solutions achieve 95%+ tracking accuracy in varied conditions, helping security teams reduce manual monitoring and sports analysts automate player tracking.
