AI-Powered Real-time Video Analytics for Manufacturing Sector

Artificial Intelligence is transforming the way businesses operate. Now it is on its mission to transform the manufacturing sector by enabling manufacturers to enhance operational efficiency and automating jobs. Instead of having operators monitor multiple cameras, AI-powered video analytics identifies behaviors of interest and immediately alerts the security operator of malfunctions or suspicious activities. Ultimately, this allows operators to focus their attention on the most important activities, monitor the highest risk potential, and make better decisions and react faster to events. The slides below walk you through the use cases and applications of Emotyx’s AI-powered real-time video analytics in the manufacturing sector.

The AI in the manufacturing market is valued at USD 1.1 billion in 2020 and is likely to reach USD 16.7 billion by 2026; it is expected to grow at a CAGR of 57.2% during the forecast period. The major drivers for the market are the increasing number of large and complex datasets (often known as big data), evolving Industrial IoT and automation, improving computing power, and increasing venture capital investments. The major use cases of AI in manufacturing are as follows;

Warehouse Surveillance

AI-powered real-time video analytics solutions can analyze the live video stream from CCTV cameras installed in the warehouses to detect security threats, monitor warehouse operations, and alert concerned officials in case of detection of any undesired event. A few of the possibilities are, trespass and tailgating detection, warehouse operations monitoring, suspicious activity detection, accidents, and hazards detection, unauthorized objects detection, and machinery operations surveillance.

Workforce Monitoring

Using automated video analytics, you can automate the process of workforce monitoring. Automate counting the number of vehicles and/or people present, entering, exiting different areas of interest. Based on the data generated, the analytics tool can provide insightful analytics and reports on workforce management. A few use cases are safety props detections, work time calculation, attendance tracking, unauthorized visitor detection, and alerts.

Manufacturing Surveillance

For manufacturing or assembly processes where an operator has to follow many steps, Emotyx can ensure that no steps are missed. If a step is missed, the system can flag alerts to double-check the work. The system can also track packaging, logistics monitoring, and package handling to detect malpractices. It can also detect anomalies such as thefts, explosions, accidents, etc. As such, it alerts officials for timely intervention.

AI offers manufacturers the tools that would help them in better predictive maintenance and machinery inspection process. Manufacturers fail to adopt new technologies or AI-based solutions due to the high cost of machines or equipment. However, with the potential benefits of AI-based solutions and the spectrum of applications they serve, the trend is changing. Manufacturers are now increasingly accepting cutting-edge technology to enhance operational efficiency.