Overview
Computer vision transforms cameras and image data into actionable intelligence. We build vision systems for manufacturing quality control, retail shelf analytics, security surveillance, medical imaging, and any domain where visual data holds value. Our systems run on the cloud, at the edge, or in hybrid configurations — and we deliver production deployments, not just demos.
What We Deliver
Defect Detection & Quality Control
Automated visual inspection systems that detect defects, anomalies, and non-conformances with >99% accuracy.
Object Detection & Tracking
Real-time detection and tracking of objects, people, and vehicles across video streams.
Image Classification
High-accuracy classification of products, documents, satellite imagery, and medical images.
OCR & Document Digitisation
Extract text from images, PDFs, and scanned documents — including handwriting and complex table structures.
Pose Estimation & Action Recognition
Human pose detection for safety monitoring, sports analytics, and gesture-based interfaces.
Video Analytics Pipelines
End-to-end pipelines for processing live or recorded video streams with real-time alerting.
Our Process
Use Case Definition
We define exactly what the system needs to detect or classify, the required accuracy, latency, and hardware constraints.
Data Collection & Annotation
We help you collect representative images/video and annotate them with bounding boxes, masks, or class labels.
Model Training
We train custom models (YOLO, EfficientDet, ResNet variants, SAM) or fine-tune foundation vision models on your data.
Optimisation for Deployment
We optimise models for your target hardware using TensorRT, ONNX, or quantisation — achieving the required inference speed.
Integration
We integrate the vision system with your cameras, PLCs, SCADA systems, or web/mobile applications.
Monitoring & Maintenance
Ongoing monitoring of accuracy in production, with retraining as environmental conditions or product ranges change.
Real-World Applications
Visual inspection system detecting surface defects in painted panels with 99.5% accuracy at 120 frames per second.
Shelf monitoring system that detects out-of-stock items and planogram violations across 200 stores in real time.
Drone-based crop disease detection system that identifies infections 2 weeks before they become visible to the naked eye.
Safety monitoring system that detects PPE violations (missing helmets, vests) in real time on construction sites.
Technologies We Use
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