Computer Vision Systems
That See What Matters
We build computer vision systems that see, understand, and act on visual data in real time — from factory floor defect detection and medical image analysis to retail inventory intelligence and security surveillance. Built for production, not demos.
Our Service Capabilities
End-to-end capability — from strategy and build to integration, monitoring, and ongoing support.
Image Classification
Custom CNN and Vision Transformer (ViT) classifiers trained on your image data — product categorisation, defect grading, medical diagnosis, and document type classification.
Object Detection & Tracking
Real-time object detection with YOLO, DETR, and Faster R-CNN — bounding box localisation, multi-class detection, and object tracking across video frames.
Semantic Segmentation
Pixel-level scene understanding for autonomous systems, satellite imagery analysis, medical image segmentation, and precise defect mapping in manufacturing.
OCR & Document Intelligence
Optical character recognition and document layout analysis — invoice extraction, form digitisation, ID verification, and handwritten text recognition at scale.
Video Analytics
Real-time and batch video analytics — activity recognition, crowd counting, anomaly detection, traffic analysis, and retail footfall intelligence from CCTV streams.
Edge AI Vision
Computer vision models optimised for edge hardware — TensorRT, ONNX quantisation, and deployment on NVIDIA Jetson, Raspberry Pi, and embedded devices with 60ms latency.
Our Engagement Process
A disciplined, outcome-focused approach from first call to go-live.
- 1
Data Collection & Labelling
Collect, clean, and label your image or video dataset — with annotation guidelines, quality control, and augmentation strategy.
- 2
Architecture Selection
Choose the optimal model architecture for your accuracy, latency, and deployment constraints — cloud, server, or edge.
- 3
Training & Validation
Train with transfer learning or from scratch, with hyperparameter tuning, regularisation, and rigorous evaluation on held-out test sets.
- 4
Optimisation & Compression
Apply TensorRT, quantisation, and pruning to optimise for production latency and hardware constraints.
- 5
Deployment & Monitoring
Deploy to cloud or edge, integrate with your systems, and instrument with real-time accuracy and latency monitoring.
Tools & Frameworks We Master
A production-tested, vendor-agnostic stack built for enterprise security and compliance requirements.
Vision Models
Frameworks
Edge & Serving
Data & Labelling
Use Cases by Industry
Production AI systems we have built across regulated, data-heavy industries.
PCB Defect Detection
YOLOv9 model detecting 18 defect types on PCB production lines — 99.1% precision, 60ms inference on NVIDIA Jetson, deployed in 12 factories.
Diabetic Retinopathy Screening
CNN trained on 500K+ fundus images — 94.2% AUC, integrated with 3 hospital PACS systems, HIPAA-compliant.
Shelf Inventory Intelligence
Computer vision system monitoring 500+ shelf cameras — detects out-of-stock, misplaced products, and planogram compliance in real time.
Perimeter Intrusion Detection
Multi-camera video analytics system for industrial site security — 97.8% detection rate, 0.3% false positive rate, edge deployment.
Parcel Dimension & Barcode Scan
Computer vision dimensioning and barcode reading system on conveyor belts — processes 3,000+ parcels/hour, 99.95% read rate.
Crop Disease Detection
Drone image analysis system identifying 14 crop disease types from aerial imagery — deployed for 50,000+ acres of farmland monitoring.
What Teams Say After Shipping with Us
Real results from teams who needed vision systems to work in production, not just in a demo.
AndolaSoft has been a valued partner providing excellent customer service. Issues with clients or troubleshooting are handled in a timely manner and positive resolution is always the outcome.
I got a recommendation on AndolaSoft. They are more than half the cost, they have a can-do attitude, and they are responsive, timely, and easy to work with.
Andolasoft team is very hardworking, dedicated and professional that follows through with their goals. The technical leadership is also a superior value to any other developers.
Frequently Asked Questions
We build image classification, object detection (YOLO, DETR, Faster R-CNN), semantic segmentation, instance segmentation, facial recognition, OCR, pose estimation, and video analytics systems — for cloud, on-premise, and edge deployment.
Ready to Build Your Computer Vision System?
Tell us your use case — defect detection, medical imaging, video analytics, or edge AI. We will scope a vision system that solves it.