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AVEVA’s Vision AI Assistant transforms image feeds into actionable industrial insights

Industrial software provider AVEVA’s Vision AI Assistant 2021 is an image classification-based analytics tool that can be integrated into AVEVA System Platform and Operations Management Interface and AVEVA Insight.

The artificial intelligence (AI) solution enables customers to use video and images from existing general-purpose cameras and convert them into user-friendly information and timely alerts.

Designed for low latency industrial environments, Vision AI Assistant leverages deep learning to train and deploy 24×7 artificial intelligence models to enhance situational awareness to help operators focus on the task at hand without continuously monitoring live camera feeds.

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“This breakthrough technology represents a game-changer that transforms factory operations through the power of AI,” said Jim Chappell, global head of AI and Advanced Analytics at AVEVA. “The Vision AI Assistant enables enhanced process optimization, thereby reducing time, wastage, and costs. Cameras can also be used in areas that are not suitable for humans for security or safety concerns, freeing up workers to focus on high-value tasks instead of continuously monitoring live camera feeds.”

Existing images

Vision AI Assistant enables organizations to improve operations, quality, and maintenance capabilities across industrial enterprises by using cameras to determine visual anomalies, assess quality, and vigorously monitor production, optimizing efficiencies and improving sustainability in the process.

Standard digital cameras can be used with Vision AI Assistant to ensure quality control, such as by analyzing the quality of water treatment fluids, gauging if a hopper is full or empty, or identifying defective products on a production line.

Vision AI Assistant can also scan thermal or infrared camera feeds so operations teams can uncover visual inconsistencies. For example, by locating compressed air or fluid leaks, it can reduce failure and efficiency loss, and by spotting hot spots in a data center, it can prevent overheating of critical equipment.

The AI solution assists maintenance efforts through continuous monitoring of plants and machinery and diagnosis of equipment issues weeks, or months before failure.