Video Analytics in the Manufacturing Industry



AI-powered video analytics is one of the most discussed topics in the manufacturing industry. The latest AI and production combination promise a stronger, more efficient, and hassle-free working environment in factories.


Despite increasing automation on the factory floor, the majority of production tasks are still performed by humans. AI solutions today cannot replace the human operator's experience and decision-making skills. Humans remain an inseparable part of the manufacturing process, capable of performing complex actions (such as those that require some hand skills) that may be difficult for robots to perform. Instead, the strength lies in a combination: taking advantage of AI solutions to improve and increase human efficiency.



So let's start with what video analytics is.


Video analytics, a set of computer-vision-based AI technologies that uses deep-learning neural networks to analyze videos and "learn" to identify objects, people, activities, emotions in real time or post facto. AI-based Video Analytics's primary goal is to detect temporal and spatial events in videos automatically.


The VA category includes smart cameras, software, and the accompanying services that use image recognition to extract data from incoming video and generate results that are meaningful to humans. According to research by Tractica, global video analytics revenue is set to increase from $1.1 billion in 2018 to $4.5 billion in 2025.



Feeling the Benefit


  • Enhanced video analytics technologies promise to revolutionize the efficiency and effectiveness of manufacturing environments. AI-power video analytics provides the ability to automatically analyze, detect and trigger alerts on events seen by cameras in real time.


According to the survey, 83 percent of companies think AI has made or will make a practical and visible impact. Among these, 27 percent believe AI projects have already brought value to their companies and 56 percent think these projects will bring value in 2-5 years.



  • As the demand for goods increases and production processes are required to become faster and more efficient every day, AI-powered video analytics can help individuals monitor security and operations in real-time. At the same time, it can seamlessly observe and track the processes and document the proper production, – directly contributing to overall customer satisfaction.



  • Processes in production can be automatically logged, trigger an alert and facilitate an action (e.g. an alarm or audio warning) without recording personal details or revealing the identities of the individuals involved. Essentially, the technology serves as a solution for all those concerned with privacy.



  • Additionally, an aging manufacturing workforce (one-quarter of the workforce is over 55 years old). As this group retires and gets replaced in the upcoming years, video and AI technology will enable knowledge capturing and training of new employees. Khenda plays an essential role in filling that gap by accelerating their AI-powered operator training capabilities to modify that transition.


Video Analytics for Manufacturing


In our everyday activities, AI-powered video analytics solutions help us. Many sectors can benefit from this technology, especially as the complexity of possible applications in recent years has increased. And we, as Khenda we bring high visibility to your production and offer you a safer, more efficient and high-quality production.


Talk to us about how Khenda can revolutionize your production lines with the power of AI.

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