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ER

E-Rain

E‑Rain develops radar‑based safety systems for industrial environments, using its ChamEye multi‑sensor AI platform to detect moving objects such as cars, forklifts, pedestrians and bicycles beyond the line of sight of cameras and mirrors. The system provides real‑time distance, speed and direction data, then issues visual and audible alerts up to three seconds before a potential collision, and integrates via Bluetooth/Wi‑Fi and a simple serial protocol for easy deployment in factories, warehouses and job sites.

Toronto, Canada50+ followers
Updated 2 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Industrial workplaces such as factories, warehouses, and construction sites have blind spots where operators cannot see moving equipment, vehicles, or pedestrians, leading to collisions and injuries. Existing safety measures like mirrors and cameras often fail to provide reliable, real‑time awareness of approaching hazards.

Solution

E‑Rain’s ChamEye system uses millimeter‑wave radar combined with AI analytics to continuously monitor a 240° field around a work zone. The radar detects objects—including forklifts, cars, pedestrians, and bicycles—and calculates their distance and speed with high precision. AI algorithms predict potential collisions by evaluating direction and velocity, then trigger visual alerts through up to six independent LEDs and an audible buzzer up to three seconds before impact. The system communicates via a simple serial protocol and can be configured wirelessly over Bluetooth or Wi‑Fi, allowing seamless integration with existing automation and safety infrastructure.

Target Audience

Primary customers are safety managers and automation engineers in manufacturing plants, warehouses, logistics centers, and construction sites who need reliable blind‑spot detection for equipment operators and personnel.

Features

  • Millimeter‑wave radar sensor providing 240° angular coverage for blind‑spot monitoring
  • Real‑time distance and velocity measurement with noise‑filtered object speed detection
  • AI‑driven collision prediction that evaluates direction and speed to issue early warnings
  • Six independent LED outputs and a buzzer for instant visual and audible alerts up to 3 seconds before impact
  • Wireless configuration and diagnostics via Bluetooth or Wi‑Fi, with flash memory storage for thresholds and calibration data
  • Simple serial interface for easy integration with PLCs, safety controllers, and other automation systems
This profile is AI-generated and may contain inaccuracies.