Global demand for produced goods continues to increase, which requires new conditions, challenges and safety and security concerns for workers. While operational requirements are changing, new technology is providing a totally different way of monitoring and controlling safety measures and optimizing process flow within the manufacturing operations by smart cameras.
Since 1942 video surveillance has been around. The first recorded use of a CCTV camera was to view the launch of V2 rockets in Germany. Since then, the installation of video surveillance cameras to monitor many activities has become a common method across the world.
Video content analysis or now commonly referred to as video analytics emerged as a solution to help operators in the industry. Industrial video analytics is revolutionizing in many organizations, especially the manufacturing industry that is part of this significant change.
Let's look at some of the use cases of video analytics in manufacturing:
Use Cases of Video Analytics in the Manufacturing Industry
Production Monitoring and Downtime Detection
Real-time efficiency and operational insights are essential for optimizing production, yet obtaining this data is often challenging. Traditional approaches typically require complex PLC integrations or expensive sensors, demanding substantial investments in infrastructure and setup. This complexity makes it hard to access the timely insights needed to enhance performance.
With Vision MES Khenda provides a revolutionary solution that bypasses the need for complex machine integrations altogether. Using existing security cameras, Khenda gathers machine and operational data in real-time, offering a seamless and affordable alternative to traditional data collection methods.
Manufacturing facilities utilize Khenda's AI-powered system to gain real-time insights into key production metrics like processing time, labor utilization, product flow, and downtime. With customizable dashboards and detailed reports, they identify bottlenecks, improve labor efficiency, reduce downtime, and enhance product quality, ultimately streamlining their operations and lowering costs.
Continuous Improvement
Engineers often find themselves spending too much time on manual cycle time measurements and labor-intensive analyses, which detracts from their ability to focus on strategic, high-impact improvements. Traditional data collection and analysis methods are not only time-consuming but also prone to errors, leading to inefficiencies in critical areas such as labor utilization, machine uptime, and production flow. These limitations prevent companies from achieving optimal operational efficiency and hinder continuous improvement efforts essential for staying competitive.
Khenda's cloud-based CI platform tackles these challenges by combining AI-powered video analytics with advanced engineering tools, which automates cycle time measurements and provides precise data for process optimization. Additionally, tools like Digital Time Study and Line Balancing enable engineers to conduct efficient analyses, optimize workstation distribution, and streamline processes, all from a single, unified platform. This digitized approach to continuous improvement empowers engineers to reduce labor costs, enhance productivity, and achieve operational excellence.
Safety measure detection
Worker safety is one of the major concerns in every manufacturing plant. Forklift areas, robotic cells, high voltage, and risky actions are some of the things that need to be monitored and kept under control. Companies need to assure that they manage their EHS risks effectively and they can implement video analytics solutions for manufacturing processes.
Our video analytics solution, Khenda Sentinel, also involves the detection of personal protective equipment (PPE) such as helmet detection, safety vest detection etc. If it detects any human in a dangerous area, it creates a digital output in real-time that can be used in many desired scenarios.
Conclusion
Be it monitoring operations, products, or machinery, artificial intelligence can do all of them; recording every production unit with cycle time, and detecting safety concerns; video analytics is here to stay. Video analytics makes monitoring and analyzing smarter and more accurate.
Khenda helps in providing real-time video analytics to create a safer and more efficient and high quality production. If you haven't implemented any technology in your daily operations, this is the time. To see how video analytics solution is transforming the manufacturing industry, contact us today!
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Learn more about real time production monitoring: Vision MES
Read more: How to Gather Machine and Operation Data Without Dealing with Complex Machine Integrations