Products

Core hardware for RTLS and camera AI infrastructure: personnel safety card, center, sensor center, asset location device, AI analysis device (up to 20 cameras), and AI analysis server (20 and beyond).

Personnel Safety Card

Personnel Safety Card

A BLE safety card worn by personnel and visitors. It operates via tag ID, in line with KVKK. It broadcasts a location signal for hazardous zones, panic and evacuation. It is not used for performance, timekeeping or disciplinary monitoring.

  • •KVKK-aligned tag-and-zone operation
  • •Badge form factor for daily use
  • •Long battery life, low maintenance
  • •Signal for OHS and emergency response
Center

Center

The core receiver unit that collects BLE signals on site and forwards them to the system.

  • •Collects BLE signals
  • •Works with existing network infrastructure
  • •Scalable field deployment
Sensor Center

Sensor Center

A receiver unit with integrated sensors that collects environmental data in addition to location signals.

  • •Location signal + environment sensing in one unit
  • •Supports temperature, gas, or ambient measurement
  • •Location and safety data from a single device
Asset Location Detection Device

Asset Location Detection Device

A passage unit that detects asset and equipment position at doors and zones. No personal identity is produced.

  • •Used at doors and turnstile points
  • •Equipment passage and availability logging
  • •Zone control (no identity verification)
AI Analysis Device

AI Analysis Device

Up to 20 cameras

Compact device for AI analysis of camera video for safety events. No identity or face recognition. Up to 5 cameras per unit; systems scale to 20 cameras.

  • •Zone PPE-missing alert (no identity)
  • •Person and vehicle presence (no identification)
  • •Restricted-zone breach alert
  • •Smoke / fire detection
  • •Similar safety analysis scenarios
  • •5 cameras per device; up to 20 in a system
AI Analysis Server

AI Analysis Server

20 cameras and beyond

Scalable AI analysis server for systems with 20 cameras and more. Each unit analyzes up to 5 cameras; additional units work together as capacity grows.

  • •Rockchip RK3576 8-core processor and Mali-G52 MC3 GPU
  • •6 TOPS NPU AI compute power
  • •4 GB / 8 GB LPDDR4 or LPDDR4X memory options
  • •High-resolution video decode/encode (8K@30 / 4K@60)
  • •Gigabit Ethernet, USB 3.2, PCIe 2.1, and SATA 3.0
  • •57.5 × 44 mm compact SoM form factor
  • •4 units for 20 cameras; add more as camera count increases

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Let’s plan the right hardware combination for your needs. Radar, camera, and software applications are listed under Solutions.

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