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Smart Forklift System with Collision Avoidance and Wireless Controlling

Mr. Rohan Kumbhar, Mr. Aadesh More, Mr. Tejas Kadam, Mr. N. C. Yadhav

Abstract


The work presented in this project involves the development of a small-scale forklift prototype equipped with an automatic stopping mechanism. The system is designed to sense obstacles during forward movement and prevent physical contact. Distance measurement is performed using ultrasonic sensing units positioned on the vehicle body. The sensor output is continuously read by a programmed controller. When the detected distance falls below a defined threshold value, the controller interrupts the motor supply, stopping the vehicle instantly. A wireless interface is also implemented to enable remote directional control. The overall setup demonstrates a basic collision prevention logic using embedded hardware and simple control programming. The model highlights how additional sensing capability can enhance operational safety in load-handling vehicles.


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References


Gocer, G., Tas, M. O., & Yavuz, H. S. — Fuzzy inference for crash avoidance of industrial lift trucks.

Lewandowski, A., et al. — Advancing Digital Twin-Based Collision Avoidance: Wireless Safety in Industry.

Ramaut, L., Buyle, C., Cappelle, J., & Van der Perre, L. — LowPower Impact Detection on Forklifts Using Wireless IMU Sensors (arXiv).

Srouji, M., Thomas, H., Tsai, H., Farhadi, A., & Zhang, J. — SAFER: Safe Collision Avoidance with Reinforcement Learning (arXiv).

SkyLab — UWB Solution for Logistics Personnel and Forklift Collision Avoidance.

AI AntiCollision — Ultrasonic Sensor Based Forklift Anti Collision System.

Jagadeesh, R. S., Murugesh, M. C., & Viji, U. — Automated Forklift with IoT Weight System (IJMRA).


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