Computer Vision Specialists
Leading Computer Vision Development Company
Object Detection, Image Segmentation & Visual AI at Production Scale
SoftUs Infotech is a top-rated computer vision development company building custom CV systems for startups in manufacturing, retail, healthcare, and logistics. From object detection and defect inspection to medical imaging and video analytics — we ship computer vision products that work in real environments, not just benchmarks.
Why Choose SoftUs Infotech
Trusted by 45+ startups across 25+ countries. Here's what sets us apart.
Object Detection & Recognition
YOLO, Detectron2, and custom architectures for detecting and classifying objects in images and video streams — optimized for your specific domain and hardware constraints.
Visual Quality Inspection
Automated defect detection for manufacturing — replacing manual QA with AI-powered inspection that runs 24/7, catches defects humans miss, and integrates with your production line.
Medical & Healthcare Imaging
Radiology assistance, pathology slide analysis, wound assessment, and diagnostic imaging AI — built with healthcare data compliance and clinical validation in mind.
Video Analytics & Surveillance
Real-time video analytics for retail foot traffic, security monitoring, behavior analysis, and crowd management — processed on-device or in the cloud.
OCR & Document Intelligence
Intelligent document processing — extract structured data from invoices, forms, IDs, and contracts with high accuracy, even from low-quality scans.
How We Work — From Day 1 to Production
Discovery Call
30-min session to scope your use case
Sprint Planning
Define milestones, team, and timeline
Build & Iterate
2-week sprints with live demos
Ship & Support
Deploy to production with monitoring
Frequently Asked Questions
What computer vision frameworks do you use?
We work with PyTorch, TensorFlow, OpenCV, YOLO (v8/v9), Detectron2, SAM (Segment Anything Model), and custom architectures. We select the framework based on your performance, deployment, and latency requirements.
Can you build real-time computer vision systems?
Yes. We optimize models for real-time inference using TensorRT, ONNX, quantization, and edge deployment on NVIDIA Jetson, Raspberry Pi, and similar hardware.
How much training data do I need for a computer vision project?
It depends on the complexity of the task. We can work with as few as 500 labeled images using transfer learning and data augmentation, or help you build automated data collection and labeling pipelines for larger datasets.
Can computer vision replace our manual QA process?
In most cases, yes — with better accuracy and speed. Our CV systems typically catch 98%+ of defects while reducing inspection time by 80%+ compared to manual processes.
Explore our full service range
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Whether you need custom AI/ML solutions, scalable model deployment, or strategic guidance — we turn your vision into intelligent, future-ready systems. Let's ship together.