How is Video Analytics Driving Industry 4.0
Last Updated on August 10, 2021 by Team Wobot
“Anything repetitive can be automated to save time and increase efficiency.”
You might have come across terms such as Artificial Intelligence, Machine Learning, IoT, and Video Analytics. But, have you ever wondered what they mean or how can they be used? How could modern businesses benefit from them?
Video Analytics is a fundamental part of AI, and it is driving Industry 4.0.
Read further to know how.
Industry 4.0 primarily refers to the fourth industrial revolution with automation in traditional manufacturing and industrial practices. Such a term was first introduced in projects conducted by the German Government in 2011, which emphasized computerization in manufacturing. The integration of intelligent machines, savvy computers, low-cost data storage, and transmission has paved the way for devices to interact within themselves and with humans to boost productivity and efficiency.
Why Industry 4.0?
The call for Industry 4.0 technology is characterized by creating self-learning machines to boost their overall performance and drive their maintenance efficiency. Other positive attributes include managing and effectively optimizing manufacturing processes, increasing the supply of products, and paving the way for intelligent manufacturing by bolstering productivity levels. In addition, with access to real-time data comes an opportunity to efficiently make smarter and faster business decisions that exceed human capabilities.
Additionally, Industry 4.0 technology would improve flexibility, agility, and profitability as the benefits of using AI lies in its reasonable costs and services compared to human labor. Furthermore, with automation happening everywhere, we are advancing towards an AI era where machines will make decisions and humans would supervise the whole process.
What is video analytics?
Video analytics is composed of two terms, “video” and “analytics,” which means performing an analysis of a video to achieve a result that could exceed human efficiency.
It is observed that when the data is received via real-time video, it then undergoes assessment. Following this, a response system is then activated to check whether the data is in accord. If there’s an anomaly, an alert is sent to concerned authorities immediately.
According to research data in 2019, the video Intelligence market stood at 23.6 billion US dollars. Moreover, the video analytics revenue is forecasted to be around 2.9 billion US dollars by 2022.
Video analytics offers facilitation in automating everyday processes and mitigating human intervention. It could also collect insights to suggest methods to drive your business and increase employee safety and security. Furthermore, with intelligent video analytics, it’s easier to perform root cause analysis and track employee’s productivity efficiently without human intervention. Given these factors, it comes as no surprise that industry 4.0 is gaining traction in the market.
Why video analytics?
Industry 4.0 is all about automating traditional industrial practices, and video analytics is an essential solution for that. With a robust video analytics system, production practices can be innovated to a whole new level, thereby transforming the entire manufacturing industry with its innovation involving both automation and reducing human intervention.
In the manufacturing sector, much of the work is mechanical and requires human participation. As a result, the safety of employees is of utmost importance in such an industry. Hence, by using video analytics, one can observe whether or not employees are adequately wearing the safety gear to work systematically in hazardous conditions.
Anticipating mishaps and alleviating the possibility of fatal injuries count as some of the more crucial variables of video analytics. Such instances become more likely if the employees are tasked with dealing with flammable liquids or heavy-duty machinery. An intricate video analytics system will monitor the position and location of the fire extinguishers that are to be used effectively during emergencies and notify the authorities of any workplace threats or mishaps. In addition, it helps you get first aid and medical responses for injured workers, alerts you if it detects any flames or smoke evolving, and predicts a fire.
Video Analytics with Deep Learning
Deep learning, a subset of machine learning, is a function of Artificial Intelligence. It learns and improves on its own by using complex computer algorithms. Then, it simply parses the data given, learns from them, and applies that knowledge to make intelligent decisions.
It is based on Artificial Neural Networks (ANN), a replica of networks in the human brain. It’s a complex network of nodes as neurons in brains. The more the network, the deeper the learning is done.
When video analytics is coupled with deep learning, it learns by the data provided to it. As a result, it can make intelligent decisions in an efficient manner that is beyond human capabilities. It can improve person recognition, work in ambiguous situations, and send alerts more efficiently.
The more accurate the data provided, the more precise the decisions are. For example, deep learning could mimic the human behavior of identifying if employees are wearing masks, social distancing norms are being followed or not, and send alerts for the same. In manufacturing plants, it could monitor if workers are wearing the safety gear, safety protocols are being followed or not, or analyze threats and accidents before they occur.
With the advances in deep learning, video analytics can now perform manufacturing tasks without human intervention.
How does video analytics work?
By real-time video or historical video footage, video analytics would work in 3 steps:
- Visual event modeling: In visual event modeling, complex algorithms detect and track events with an anomaly. It helps see any suspicious activity or something that’s not as per data and immediately alerts the authorities.
- Study of camera networks: Instead of individual cameras, there is an extensive network of cameras. Now, the same visual event data is collected more times from different cameras, ensuring the authenticity of data. Then this accurate data is parsed, a more precise decision is made, and system performance reaches its peak.
- Algorithmic and hardware design: The real-time video data would be more accurate when the algorithm and the hardware designs are in sync. It aids the video analytics software to make better decisions and learn from its own mistakes. Now it’s capable of analyzing both real-time and historically stored videos. It can predict a situation and act upon it by sending an alert.
Industry 4.0 will be the most exemplary industrial revolution. It will change the lives of millions of people with the integration of AI in different aspects of life. In the upcoming era of the technological revolution, video analytics would play a pivotal role in driving the fourth industrial revolution. Video analytics is expected to automate repetitive manufacturing processes and increase the efficiency of CCTV systems in the future.
By using intelligent video analytics, we can track almost everything, from customer data to manufacturing defects. Based on that data, we can provide suggestions to improve customer experience and establish brand loyalty. In upcoming years, businesses will need to be AI-powered. Video Analytics will empower us, humans, to work collaboratively with machines and make unanimous decisions to better the overall organization.
How can wobot.ai help?
Any video analytics software should be aptly designed to avoid errors and produce more accurate decisions. This is where Wobot.ai steps in. Our video analytics software offers a top-notch solution to businesses for ensuring safety, security and gain operational excellence.
Wobot.ai’s video analytics retrieve actionable analytics with deep learning that helps businesses get insights to improve operations to ensure safety and security. It transforms your existing CCTV camera infrastructure with the power of artificial intelligence to provide you deep insights. Try Wobot.ai today for your manufacturing business.