Sees Without Tags
Detects people in zones using computer vision even when they are not wearing ASSET-Rx transponders. A second layer of zone coverage that does not depend on hardware compliance.
ASSET-Rx EDGE
Add Eyes to Your Operation
ASSET-Rx EDGE extends real-time location visibility with machine vision and AI inference running at the edge. Cameras, LiDAR, and sensor arrays feed GPU-enabled edge processors running detection and classification models tuned to your specific industrial environment. Everything connects to the same ASSET-Rx operational picture.
Why EDGE
Visibility Beyond the Tag
RTLS tags give you precise, real-time location visibility for every person and asset that is wearing or carrying one. But not every worker will always have a tag. Not every hazard can be anticipated by a fixed zone definition. And not every compliance requirement can be satisfied by location data alone. ASSET-Rx EDGE fills those gaps with intelligent sensing that sees what tags cannot report.
Because AI inference runs at the edge rather than in the cloud, ASSET-Rx EDGE delivers sub-100ms latency for safety-critical detection. Alerts fire before the person reaches the hazard, not after the cloud round-trip completes. In safety applications, that latency difference matters.
Sub-100ms Latency
Inference runs on-site, not in the cloud. Safety-critical detection happens in real time without network round-trips. The alert fires before the person reaches the hazard boundary.
Unified with RTLS
EDGE vision data fuses with UWB position data. Higher-confidence location and identity determination, especially in complex environments where UWB geometry alone is constrained.
Integrates with your operational Workflows
Detection events flow into ASSET-Rx workflows, alerts, and audit records — the same operational picture your team already uses for RTLS, so vision insights drive action without a separate tool.
Capabilities
What ASSET-Rx EDGE Detects and Measures
Worker Detection Without Tags
Computer vision models trained on industrial worker appearances detect people in zones regardless of whether they are carrying ASSET-Rx tags. Zone-entry alerts fire immediately. Used as a second layer of safety coverage in high-risk areas where complete tag compliance cannot be guaranteed.
PPE Compliance Monitoring
Cameras at zone entry points verify hard hat, high-visibility vest, and safety equipment compliance automatically. Non-compliant entries trigger alerts in real time without manual observation or a safety officer posted at every gate. Every compliance event is logged with a timestamp, location, and image.
Object and Vehicle Classification
Classify vehicle types, detect load presence on crane hooks and forklift forks, identify hazardous material containers, and recognize object categories at key points in your operation. Vision data enriches your ASSET-Rx location picture with context that position alone cannot provide.
Cargo Volume Measurement using LiDAR
LiDAR point cloud processing measures exact volumes in cargo bays of trucks and train cars, on conveyor belts, and in stockpiles. The exact volumetric change during loading and unloading is calculated and logged. Discrepancies against expected load manifests surface immediately. Results link to ASSET-Rx chain of custody records. See the full volume measurement use case for all four system types.
Sensor Fusion with UWB Positioning
EDGE vision data fuses with UWB position data from the ASSET-Rx anchor network to produce higher-confidence location and identity determination. In environments where UWB geometry is constrained by structure or interference, vision fusion compensates and maintains detection reliability.
Custom Detection Models
CRATUS engineers develop and deploy custom detection models trained on your specific environment, equipment, and hazard scenarios. If a generic model does not meet your accuracy requirements or your environment does not match standard training data, we build the model that does.
Hardware
Edge Processing Hardware
ASSET-Rx EDGE runs on ruggedized GPU-enabled edge processing units deployed on-site. Sensor hardware is selected and configured based on the specific detection task and environmental requirements of each deployment. CRATUS engineers specify, source, and integrate all hardware as part of the implementation service.
Sensor Hardware
- Imaging
- Industrial cameras, configurable resolution and FOV
- Depth sensing
- LiDAR (multiple system types)
- Environmental sensors
- Via Intercal8 ICL8-PCxxx and ICL8-GPxxx modules
- Mounting
- Fixed, pan-tilt, or mobile vehicle-mount
- Environment rating
- IP65 and above for outdoor deployments
Processing and Connectivity
- Processing unit
- GPU-enabled edge computer, on-site
- Inference latency
- Sub-100ms for safety-critical detection
- Cloud connectivity
- Results and events streamed to ASSET-Rx cloud
- Offline capability
- Local detection continues if cloud link is lost
- Model updates
- OTA via ASSET-Rx remote update platform
See What EDGE Sees in Your Operation.
ASSET-Rx EDGE is running in production on active industrial sites. We can demonstrate the detection capabilities most relevant to your safety and operational visibility requirements.