Real-Time Detection & Tracking
Ultra-fast, edge-optimised computer vision engineered for industrial environments.
Built for Precision, Speed & Reliability
Our edge-optimised detection delivers sub-second latency, high accuracy, and stable tracking across challenging industrial environments.
- Sub-ms Latency Edge execution ensures decisions are delivered instantly, even on fast-moving equipment.
- High Accuracy Models fine-tuned on challenging industrial datasets deliver consistent, reliable detection.
- Stable Tracking Multi-frame tracking guarantees continuity under motion, vibration, and occlusions.
- Integrates Anywhere Compatible with existing CCTV, IP cams, network streams, and industrial hardware.
Consistent detection across challenging industrial environments.
Where competitors provide results up to 15 minutes later.
Operational running hours at over 99.5% uptime 24/7
Designed for Real Environments
Our detection stack is trained on the hard things - low light, glare, vibration, rain - so performance doesn't fall off when conditions go sideways.
- Adverse lighting Optimised for glare, rain, low lux, blown highlights, and thermal spill.
- Stabilised pipeline Keeps IDs locked through vibration, motion blur, and mobile platforms.
- Contamination tolerant Understands dust, sparks, steam, and visual clutter without spiking false alarms.
Model QA across thousands of industrial operating hours in the field.
Maintained detection accuracy across extreme lighting and weather conditions.
Minimal false alarms even in high-contamination industrial environments.
Deep Learning Built for the Edge
We combine YOLO-based detection, TensorRT acceleration, and high-availability orchestration to push real-time intelligence out of the data centre.
- YOLOv11/12 stack Fine-tuned models across people, vehicles, tooling, PPE, and work zones.
- Multi-object tracking DeepSORT, OC-SORT, and nvtracker pipelines maintain IDs through occlusions.
- TensorRT acceleration Precision-calibrated engines keep throughput high on Jetson and RTX edge nodes.
Latency measured at the sensor for 1080p feeds across Orin + RTX deployments.
Sustained frame processing rate on edge hardware for real-time monitoring.
TensorRT optimization delivers faster inference compared to standard models.
Situational Awareness for Every Stakeholder
Context-aware tracking, fused camera streams, and role-based routing deliver the same fidelity to operators, safety teams, and downstream systems.
- Fused site view Synchronises up to 16 camera feeds around a single timestamped ground truth.
- Role-based alerts Routes detections to supervisors, PLCs, SCADA, and ops chat in under a second.
- Developer-ready data Structured gRPC / REST events, metadata, and heatmaps drop into your stack.
Edge gateway merges panoramic + PTZ sources for a single operational window.
Time from detection to notification delivery across all integrated systems.
High-availability orchestration ensures continuous monitoring and alerting.
How It Works
From capture to insight - our pipeline delivers real-time intelligence in four seamless stages.
Capture
High-resolution video streams ingested from cameras and network feeds.
Detect
Edge-optimised models identify people, equipment, and objects instantly.
Track
Multi-frame tracking assigns stable IDs and movement patterns.
Output
Insights and alerts sent in real time to dashboards and safety systems.
Where It's Used
Safety Monitoring
Equipment Movement Tracking
Operational Analytics
