Citation

Yuqian S, Baoliang W, Fengji W, Yanan X, Suxia Z, Siwei M, Juhui X, Lei W, Hongyu L. Comput. Sci. Technol. 2024; 3(2): e23.

Copyright

(Copyright © 2024, International Science Group)

DOI

unavailable

PMID

unavailable

Abstract

PURPOSE: In recent years, vehicle accidents caused by forklift operations have been analyzed, mainly due to the presence of safety risks between people and vehicles during forklift operations. Firstly, the unsafe state of objects and the intrinsic safety of vehicles are the main reasons. Secondly, unsafe behavior of people is the root cause of forklift accidents. Based on the analysis of forklift accidents, forklift operations require personnel to cooperate in completing work tasks. When personnel work around the forklift, they are relatively close to the forklift, Personal injury caused by close proximity during emergency braking. In summary, in order to ensure the safety of themselves and surrounding personnel, enterprises use AI digital means to avoid security risks, and automatic monitoring systems supervise personnel operations.

CONCLUSION: Combined with the application of digital AI, When personnel approach a moving forklift, the forklift recognizes a defense card sensing signal and forces the forklift to stop. The AI forklift collision prevention system, as a collision prevention solution, automatically monitors obstacles around the forklift through AI. When an object or person enters a specified distance (such as 5 meters, 10 meters, 15 meters), it will emit sound and visual alarms to notify the driver. By detecting the braking distance and reaching a dangerous distance, the system will automatically stop the forklift, determine its effective distance and speed, and prevent forklift accidents by controlling the distance.

Language: zh