Indeed, robotic vision or computer vision is an appropriate tool to enhance and recognize the performance of practical applications arising in various industries.

Dear Shazed Muntashir Ovi ,

At its core, AI image processing is the marriage of two cutting-edge fields: artificial intelligence (AI) and computer vision. It's the art and science of bestowing computers with the remarkable ability to understand, interpret, and manipulate visual data—much like the human visual system. Imagine an intricate dance between algorithms and pixels, where machines "see" images and glean insights that elude the human eye.

https://nanonets.com/blog/ai-image-processing/

Regards,

Shafagat

Interesting Question. By analyzing images or video feeds captured from production lines or manufacturing processes, AI algorithms can extract valuable insights and metrics to assess performance. Here are some ways image processing AI can be applied in production monitoring:

Defect Detection: AI algorithms can be trained to identify and classify defects or anomalies in products by analyzing images or video footage. This enables real-time detection of defects, reducing the need for manual inspection and improving quality control.

Quality Assessment: Image processing AI can quantify the quality of products by analyzing visual attributes such as color, texture, shape, or size. By comparing the captured images with predefined standards or models, it can provide objective quality assessments.

Production Line Efficiency: AI algorithms can analyze images or video streams from production lines to monitor the efficiency of operations. This can include tracking the speed of moving objects, identifying bottlenecks, or detecting equipment malfunctions that could impact productivity.

Inventory Management: Image processing AI can assist in inventory management by automatically counting and tracking items or components in production. It can help monitor stock levels, identify discrepancies, and optimize inventory control processes.

Process Optimization: By analyzing images or video feeds, AI algorithms can identify patterns or correlations between production variables and performance metrics. This information can be used to optimize production processes, reduce waste, and improve overall efficiency.

Worker Safety: Image processing AI can be utilized to monitor worker safety by detecting unsafe behaviors or identifying potential hazards in real-time. It can help ensure compliance with safety regulations and provide early warnings for proactive interventions.

Which Object detection libraries are best suitable for industrial purposes?

Darkflow, YOLOv3_TensorFlow, Detectron2, GluonCV, ImageAI, OpenCV

Murtaza Khan Shafagat Mahmudova Muhammad Ali Honourable mention.