Smart Manufacturing Video Analytics via CCTV

The technology offers a video analytics solution for smart manufacturing.

The purpose of the technology is to make manufacturing more efficient and to create a safer environment for employees. It is designed to optimise the manufacturing process by ensuring the proper use of manufacturing space and conducting quality control checks on products. This ensures that products comply with standards and are not missing any components. Another important element is that it makes the manufacturing process safer for employees, and it achieves that by detecting workplace accidents such as smoke and fire, as well as employee issues and altercations.

The technology detects accident-prone machinery and can alert and warn personnel when they are in the presence of such devices. It also works as an access control device, by monitoring employee access through facial recognition, and tracking the location of unauthorized personnel. It is hugely beneficial in ensuring that employee safety and work efficiency is a top priority in the manufacturing industry.

Some technical specifications for consideration:

• On-premises or On-Cloud or Hybrid Cloud-to-edge deployments
• Minimal hardware requirements and short deployment times
• Add multiple analytics in each CCTV camera in a simple plug-and-play fashion
• Highly scalable and robust platform
• Continuous online learning for future-proof performance
• Draw critical insights from detailed Dashboards

The technology covers a wide range of CCTV based video analytics for safety and surveillance activities such as:

• Activity: Intrusion Detection, Worker Safety, Accident Detection & Prevention, Access Control etc.
• Object: Quality Control, Identify unwanted objects causing obstruction etc.
• Person: Face recognition, People Count, Attendance Management, Clothing, Emotion, Posture Detection, Uniform detection etc.
• COVID related: Mask detection, Social distancing violation, Thermal camera analytics, Safety Gear Compliance etc.

The main focus area of computer vision analytics has been around facial recognition and people identification.

Several technology owners in this space have been actively working to obtain deeper analytical insights from the CCTV video feed so as to enhance the capabilities of surveillance activities.

The video surveillance market was valued at USD 30.37 Billion in 2016 and is projected to reach USD 75.64 Billion by 2022, at a CAGR of 15.4% between 2017 and 2022.

The need to protect the physical security of important facilities and infrastructure is more critical than ever before. Conventional surveillance solutions depend on round-the-clock monitoring of the camera feeds by trained professionals. Given the scarcity of trained manpower, this method can be exhaustive and expensive for the manufacturing industries.