Impelmentasi Sistem Penglihatan Kamera Sederhana Dalam Forklift Elektik

Abstract

Automation in the industry plays a crucial role in enhancing efficiency and facilitating work processes. One example of its implementation is through the integration of computer vision systems in electric forklifts, enabling the automated transportation of heavy goods. By utilizing a simple computer vision system to recognize and follow predefined paths, the forklift can operate autonomously. The electric forklift is also equipped with various sensors to prevent collisions during its movement. The path consists of a white line surrounded by two black lines on the right and left sides. The electric forklift is controlled by an Arduino Mega microcontroller, serving as the central motor control unit. The computer vision system can be integrated using a mini PC like Jetson Nano, acting as the primary image processor. Once the computer vision process is completed, Jetson Nano sends commands to the Arduino via a serial connection to drive the electric forklift. During the integration of the Jetson Nano computer vision system and the electric forklift, a series of experiments and adjustments are conducted based on previous trial results. Implemented changes include parameter adjustments for right or left movements, forklift speed, and other relevant factors.