Computer Vision for Smart Inspection, Defect Detection & Safety Monitoring
Turn cameras into real-time quality inspectors and safety sentinels. Improve throughput, reduce rework, and keep people safe with AI you can trust.
Who we help?
We help industries bring vision to reality using AI-powered computer vision systems that improve quality, automate inspections, and deliver real-time insights from the factory floor.
Manufacturing
Surface Defect Detection Identify cracks, scratches, dents, or deformations on metal, glass, or plastic parts.
Dimensional Verification Measure and validate dimensions (length, width, diameter, alignment) using cameras instead of manual gauges.
Power sector
Transmission Line Inspection Identify broken insulators, conductor sag, corrosion, etc.
Overheating Detection Spot abnormal heat patterns in transformers, bushings, and circuit breakers using thermal cameras.
Oil & gas
Pipeline Inspection Detect corrosion, cracks, and leaks using drones or robotic crawlers with visual and infrared cameras.
Storage Tank Monitoring Identify surface corrosion, deformation, or leakage in tanks.
Marine
PPE Compliance Detect life jacket and helmet use for crew and dock workers.
Man, Overboard Detection AI based systems automatically detect and alert when a person falls overboard.
Core capabilities
A modern IIoT platform follows a simple yet powerful flow:
Automated Visual Inspection
Precision defect, part, and alignment detection
High-resolution camera support
Defect Classification & Root-cause Insight
Identify and label defect types (crack, dent, scratch, contamination)
Provide aggregated analytics to uncover patterns and root causes
Safety Monitoring & Compliance
Monitor PPE compliance (helmets, vests, goggles) and unsafe behaviors
Track crowd density and limit violations
Edge & Cloud Deployment
Run models on edge devices for low-latency, real-time decisions
Use cloud deployment for advanced analytics and fleet-wide model management
How it works (Simple 4-step flow)
A modern IIoT platform follows a simple yet powerful flow:
Capture
Cameras or video streams are connected to the platform (RTSP, ONVIF, USB, IP cameras).
Analyze
The vision pipeline applies pre-processing, model inference, and post-processing to detect defects or hazards in real time.
Act
Alerts, PLC signals, or workflow automations trigger corrective actions (stop line, mark part, notify engineer).
Improve
Continuous monitoring, dashboards, and retraining loops make models more accurate over time
Technology & models
Sate-of-the-art deep learning (CNNs, Transformers for vision) tailored for inspection tasks
Custom training pipelines using labeled images, synthetic data augmentation, and active learning
Model optimization for edge inference (quantization, pruning) and containerized deployment (Docker, k8s)
Support for industry-standard, formats (ONNX, TensorRT)
Results you can expect
Decrease false rejects through context-aware models
Increase detection rate for critical defects in-line
Reduce inspection costs by automating repetitive manual check
Faster incident response through instant alerts and video evidence
Example use-cases
A modern IIoT platform follows a simple yet powerful flow:
PCB assembly
Detect missing components, solder bridging, and misplaced parts at high speed.
Food packaging
Identify foreign objects, fill-level deviations, and label misprints.
Metal fabrication
Spot cracks, weld defects, and surface burrs.
Construction sites
Enforce PPE, detect unsafe proximity to heavy equipment.