Smart Edge AI Vision
Turn every physical event on your site into a signed, searchable digital record.
AI + Hardware< 33 ms
Edge inference
> 98%
Plate & label OCR
15–20%
Energy saved
0
Video sent off-site
What this system does
Cameras already watch your site. Almost none of that footage becomes usable data. Smart Edge places neural processing directly on the premises, so a moving pallet, an unhelmeted worker or an arriving truck becomes a structured event in milliseconds.
Because inference happens on local edge processors, no raw video or biometric template ever leaves the property. Only signed JSON events — timestamp, zone, class, confidence — travel onward into your ERP, POS, access control or alarm stack. Deployment reuses 60–80% of existing camera infrastructure.
- Sub-33 ms inference
- ALPR & OCR > 98% accuracy
- OPC-UA, Modbus, REST, MQTT
Why teams call us
Footage nobody reviews
Recorded video only helps after an incident, and finding the relevant minute takes hours.
Manual counting and gate logs
Human tallies at conveyors and weighbridges are slow, inconsistent and disputed at reconciliation time.
Privacy and bandwidth cost
Streaming everything to a cloud vendor is expensive and often not legally acceptable.
Everything included in Smart Edge AI Vision
Warehouse & inventory tracking
Multi-object tracking counts cartons, pallets and bags on live conveyors and flags dispatch discrepancies before the yard gate.
Gate & weighbridge automation
Plate and container OCR auto-matched to purchase orders, cutting driver dwell time and demurrage.
Safety & PPE compliance
Helmet, vest and virtual-perimeter checks with audit-ready evidence for every violation.
Energy & occupancy
Occupancy plus thermal load data trims 15–20% of HVAC and lighting spend in large workspaces.
Quality & defect detection
Line-side inspection models catch surface, label and fill defects at production speed.
Industrial integration
Events published over OPC-UA, Modbus, MQTT or REST straight into SCADA, ERP and WMS.
How a deployment runs
- 01
See
IP feeds, thermal sensors and biometric readers observe defined zones with no blind spots.
- 02
Decide
Local edge processors run neural models in 33–150 ms to verify identity or classify anomalies.
- 03
Record
Detections become signed JSON events carrying timestamp, zone and confidence score.
- 04
Act
Payloads open gates, trigger alarms, push alerts or write straight into ERP and POS systems.
Technical detail
- Inference latency
- < 33 ms
- OCR / ALPR accuracy
- > 98%
- Camera reuse
- 60–80% of existing fleet
- Data egress
- Events only, no raw video
Built with
Questions we get asked
Do we need new cameras?+
Usually not. Most deployments reuse 60–80% of the existing fleet; we only add sensors where coverage or resolution genuinely falls short.
Where is the data stored?+
Events stay on your infrastructure by default. Raw video never leaves the site unless you explicitly enable clip export.
Can it run without internet?+
Yes. Edge nodes operate fully offline and sync buffered events once connectivity returns.
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