Forklift Tracking

Cloud solution boosts agility and speed-to-market
Gravity Care’s solution involved deploying an advanced IoT-based tracking system to monitor and analyze forklift activities in real-time. Each forklift was equipped with motion sensors and Inertial Measurement Units (IMUs) to detect movements and impacts. Additionally, RFID tags were installed on both the forklifts and the drivers’ ID badges, ensuring unique identification and association of each forklift with its operator. A network of RFID readers and antennas was strategically placed throughout the warehouse to provide accurate, real-time localization of both forklifts and drivers, particularly when an impact occurred. This setup allowed for continuous monitoring of forklift movements and interactions within the warehouse, facilitating immediate detection of collisions or unusual activities.

The telemetry data collected from the motion sensors and RFID tags were routed through an IoT Edge server, which preprocessed and transmitted the data to the cloud. The IoT Edge server sent the raw telemetry data to the IoT Hub, where Azure Stream Analytics and other Azure services processed the information. These cloud-based services analyzed the data to create associations between forklifts, drivers, and detected impacts or accidents, ensuring precise documentation of each incident. An operational dashboard developed using Power BI on the Gravity Care IoT platform provided detailed event analysis reports. This dashboard offered warehouse managers insights into incident patterns, driver behavior, and overall safety performance, enabling informed decision-making for implementing safety improvements.