Hard Hat Ambient Liability Observer (H.A.L.O.)

Nathan Kish
Brian Thompson
Hunter F. Hykes

Abstract

Capturing workplace incident information is a growing area of concern for most companies. To assist with this, the design team proposed the H.A.L.O. This design uses time-of-flight sensors connected to LEDs to create a proximity-based hazard warning system. It also records incident data using an accelerometer and micro-SD card. This helps workers avoid some of the most common workplace injuries, slips, trips, and falls and accidental collisions.

Students have created a design with engineering, and marketing requirements that accomplish this task. The proposed design allows for this monitoring and mitigation systems to be attached to hard hats. Team members developed software and hardware subsystems to fit on any hardhat without hindering worker safety.

The completed design uses the systems listed above register hazardous objects within 1.5m and color shifts depending on distance. Within the 150-degree FOV, any objects approaching the device are registered. In case of a possible concussive event, collision data writes to a SD card for use during an incident investigation. After a semester of development and integration, the H.A.L.O. system met the engineering requirements to assist with preventing workplace injury in a cost-effective manner.