AI has enabled Industrial Robots to advance from doing pre-programmed tasks with high precision and speed to judging the nature of functions needed to be performed and doing context-aware tasks. The adoption of AI has helped manufacturing sectors.
Robots can be used to identify, sort, pick up and put different items from the conveyor belt. Advanced Neural Network techniques can help robots identify items even with minor variation, pick objects even when the items are not correctly placed, and put the things in the trucks properly to maximize the use of space in the car.
The robot can inspect and identify faulty items and separate them to not move to the next production level. The advancement of Deep Learning techniques helps robots learn new types of faults, improve the fault identification process and take rectifying action to minimize the weaknesses.
Detection of Unsafe Incidents
AI can be used to identify dangerous incidents like abnormal wear and tear in the machine, spill of oil or other hazardous chemicals on the shop floor. Risky placement of products and machinery on the shop floor, identification of unsafe worker’s behaviors, etc. is made possible by AI.
AI can help factory management ensure compliance in terms of workers taking required safety attire at the shop floor, maintaining required distance from each other and the machinery, the dangerous position of workers with respect to the moving vehicles, etc.