Computer Vision Specialists
Computer Vision Development Company
SoftUs Infotech builds computer vision workflows for inspection, document extraction, and image analysis. We define representative test data, acceptable error rates, review paths, and deployment constraints before choosing a model. Results depend on the use case and operating environment.
Object Detection, Image Segmentation & Visual AI at Production Scale
Why choose SoftUs Infotech
Trusted by 45+ startups across 25+ countries. Here is 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
A predictable rhythm. Discovery is a real conversation, not a sales call.
01
Discovery Call
30-min session to scope your use case
02
Sprint Planning
Define milestones, team, and timeline
03
Build & Iterate
2-week sprints with live demos
04
Ship & Support
Deploy to production with monitoring
Questions buyers ask
Honest answers, kept short. If you need depth on one of these, book a call and we will go deeper than any FAQ allows.
- 01
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.
- 02
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.
- 03
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.
- 04
Can computer vision replace our manual QA process?
That depends on defect types, image quality, throughput, and the cost of missed or false detections. Start with a representative evaluation set and a reviewed pilot. Decide which checks can be automated and which should remain with trained inspectors based on measured results.
Full-spectrum AI development. Pick a track to read how we scope, staff, and ship inside it.
Related AI topics
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Ready to build with the best
Book a free 30-minute consultation. We will scope your project, give you an honest timeline, and show you exactly how we will deliver.