Computer vision is key in helping robots navigate and interact with their surroundings independently. Nowadays, organizations recognize the value of employing smart robots. These robots can adapt to various situations, which makes them perfect for tasks like industrial inspection, handling hazardous materials remotely, site maintenance, and automating warehouse operations. 

About xis_suite : xis_suite automates visual quality inspection with AI and robotics. With a camera and no code computer vision platform that enables non-technical industrial users to develop, deploy, and use automated visual inspection (AOI) in any industry in minutes. 

Fig 1 : xis_suite Software

Applications of Computer Vision in Robotics  

 Robotics relies heavily on computer vision because it gives machines the ability to see and interpret their surroundings. Robots can learn important information about objects, their locations, and their characteristics by examining images or video streams.  

Here are some specific examples of how computer vision is used in robotics:  

Object Detection and Recognition  

Robots equipped with computer vision can spot and identify objects around them. This capability is vital in industrial tasks like sorting items on assembly lines or picking out specific objects from cluttered environments.  

Quality Inspection and Defect Detection:  

Computer vision allows robots to inspect products for flaws or inconsistencies with remarkable accuracy. This is invaluable in manufacturing settings, where robots can detect defects in products or perform quality checks with speed and efficiency.  

Fig 2 : AI Based Quality Inspection

Supply Chain Optimization 

Computer vision in robotics optimizes supply chain management in distribution centers, enhancing productivity and responsiveness to customer demands. Computer vision-equipped autonomous mobile robots (AMRs) swiftly learn warehouse layouts and navigate autonomously. AMRs adapt to changes, autonomously rerouting if pathways are blocked, ensuring uninterrupted operations.  

Fig 3 : Supply Chain Optimization with Robots

Monitoring Crop Health

AI-based robots, drones and other automated machines used in agriculture and farming are working on computer vision-based technology. Computer vision enables these AI models to detect plants or crop health conditions, find defects or insects damaging the crops, fruits, and vegetables in the field.