Computer Vision & Machine Learning
AI Vision & Predictive Analytics
Pre-built computer vision for industrial, traffic and surveillance automation, and tailored machine learning models for forecasting, risk and asset health. From solar panel defect detection to demand planning, our models hit 95%+ accuracy and deploy in weeks, not months.
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Computer Vision
Make roads smarter with real-time video intelligence
Highway Monitoring
Traffic Analytics: Monitor vehicle flow, congestion, and violations using AI-powered cameras- Incident Detection: Identify accidents and hazards instantly, with 20+ incident types recognized in real time
- Vehicle Intelligence: Classification and number plate recognition for city planning, toll systems, and traffic optimization
Deploy secure, scalable face recognition systems
Facial Recognition
- Identity Verification: Contactless authentication for access control and attendance
- High-Speed Matching: Process faces across large datasets with low latency and high accuracy
- Privacy-First Approach: Built to comply with data protection regulations
Catch defects before they cost you
Automated Quality Inspection
- Defect Detection: Identify manufacturing defects on solar panels and industrial products with computer vision precision
- Real-Time Inspection: Deployed offline on the factory floor, no cloud dependency required
- Lightweight Models: 97%+ accuracy with minimal training data, running on CPUs instead of GPUs
Machine Learning
Stock what sells, where it sells
Supply Chain & Demand Forecasting
- Demand Prediction: Forecast product demand across regions and seasons from your own sales history
- Inventory Optimization: Right stock levels per location, with less overstock and less waste
- Planning Support: Forecasts delivered into the tools your planners already use
Catch the transaction, not the chargeback
Fraud & Anomaly Detection
- Real-Time Scoring: Flag suspicious transactions as they happen, not in a next-day report
- Pattern Learning: Models learn normal spending behaviour and surface the anomalies
- Fewer False Alarms: Tuned for review capacity, so your team chases real cases
Know when a battery will fail, before it does
Battery Health Prediction
- Health & Life Estimates: Predict State of Health and Remaining Useful Life from live sensor data
- Degradation Patterns: Voltage, temperature, impedance and cycle history learned over time
- Maintenance Ahead of Failure: Know when capacity drops below usable, and plan the replacement
