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How is AI Used in a Vision System?

A vision system is capable of taking and processing images to perform inspections. Vision systems can help manufacturers identify defects early and ensure their products meet requirements set by regulatory bodies. Here are some ways a vision system uses AI to process and understand visual data.

Image Recognition

An AI computer vision system uses an AI algorithm to recognize objects, faces, and scenes in images. Computer vision systems can identify suspicious persons or unusual activities and are commonly used for surveillance.

Machine Learning Models

Many vision systems use machine learning models, including deep learning models like CNNs, to analyze visual data. Machine learning models are trained on large image datasets and can help vision systems learn patterns.

Real-time Processing

AI enables vision systems to process live video streams in real time. Real-time processing allows vision systems to respond to visual input immediately.

Semantic Segmentation

AI-powered vision systems can segment images into their constituents and label them. Computer vision has revolutionized medical image segmentation. It enables healthcare professionals to identify and analyze specific anatomical structures and pathological abnormalities.

Object Detection and Tracking

AI algorithms can detect and track objects across frames in videos. Some industries that use object detection and object tracking algorithms include defense, medical, and automotive. These algorithms can be used to monitor traffic and collect and analyze data from retail outlets (retail analytics).

Predictive Analytics

AI-powered vision systems can analyze visual data to predict future events. Predictive analytics can be used to schedule predictive maintenance, and event organizers can leverage the technology to anticipate crowd movements during events.

Getting the Most Out of Your Vision System

Follow these tips to get the most out of your vision system.

Choose the Right Camera and Optics

When selecting cameras, think about the intended application. Consider field of view, camera resolution, and frame rate and make sure the lens is capable of capturing clear images under the lighting conditions.

Optimize Lighting

Lighting can affect image quality. Use uniform lighting to minimize shadows and reflections. Structured lighting can enhance the contrast in textures. Use backlighting and other techniques to carry out silhouette inspections.

Software Updates and Maintenance

Stay on top of software updates to leverage algorithm improvements. Regularly inspect and maintain your vision system and address any problems in a timely manner to prevent unplanned downtime. Hellbender offers advanced AI-enabled computer vision solutions. Our systems help manufacturers gain insights into their production processes and pave the way for data-driven decision-making.