Use Cases of Computer Vision in Manufacturing

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The manufacturing industry has been adopting various automation solutions as a part of Industry 4.0- the next revolution in manufacturing. To change the way products are produced, as a part of industrial automation, the manufacturing industry is adopting various advanced technologies like Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), computer vision, robotics, and so on. Specifically, computer vision has taken center stage and revolutionizing various segments of the manufacturing process with its intelligent automation solutions.

Ways Computer Vision Can Transform Manufacturing Industry with Automation

1. Product Assembly

Computer vision applications have a major role in product and component assembly in the manufacturing space. As a part of industry 4.0 automation, most of the manufacturing industry has been implementing computer vision to conduct fully automated product assembly and management processes. For example, it is widely known that close to 70% of the Tesla manufacturing process is automated. 3D modeling designs are generated by computer-aided software. Based on these designs,  the computer vision system guides the assembly process precisely. Here computer vision systems constantly monitor and guide the robotic arms and employees in the assembly line.

2. Defect Detection

The manufacturing industry often struggles to get 100% accuracy in detect defects in their manufactured products, as it demands systems to monitor defects on a micro-scale (like monitoring the wrong threading). Detecting these defects at the end of the production process or after the delivery to the client can result in increased production costs and leads to customer dissatisfaction. 

3. 3D Vision System 

A computer vision inspection system is used in a production line to carry out responsibilities that humans struggle with. In this use case, the system uses high-resolution images to build a full 3D model of components and their connector pins.

4. Computer Vision-Guided Die Cutting

Rotary and Laser Die Cutting are the most adopted technologies in performing die-cutting in the manufacturing process. Rotary uses hard tooling and steel blades while laser uses high-speed laser light. Even though laser die cutting is more precise, cutting tough materials is challenging and rotary cutting can be used to cut any material.

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