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Why does AI assisted Video Analytics work the best in Manufacturing?

It’s an evergreen manufacturing goal: to produce high-quality products at the least possible cost. Industry 4.0 is already demonstrating its value by enabling manufacturers to aim for this goal much more than ever before. One of the core technologies that is empowering and driving people with this new wave of automation is Industrial AI and Video Analytics.
Engineer touch screen control robot the production of factory parts engine manufacturing industry robots and mechanical arm

Source- Internet of Business

It’s an evergreen manufacturing goal: to produce high-quality products at the least possible cost. Industry 4.0 is already demonstrating its value by enabling manufacturers to aim for this goal much more than ever before. One of the core technologies that is empowering and driving people with this new wave of automation is Industrial AI and Video Analytics. The fourth industrial revolution promises to provide automation on a much larger scale than before and all-around connectivity and efficiency on the factory floor.

There’s probably no other sector in which Artificial Intelligence is having an impact than manufacturing, and the interesting part is that it’s just the beginning!

AI And Video analytics in manufacturing

Video analytics systems are beneficial for large scale or even medium scale manufacturing industries and factories because it brings efficiency to the entire security process and the entire functioning in the workplace. The security system data can be used in a better way to reduce inefficient tasks, increase safety and decrease the processing time and cut short the defaulting time. It also helps to get an emergency response with other systems, including police, fire control, and traffic control. Some activities which can’t be predicted, such as theft and tampering with equipment, machines, etc. are at an all-time high in industry areas. So, to avoid such activities, video analytics solutions have become a necessity for all manufacturing industries.

Real-time video analytics software companies make the emerging AI technology that enables a significant impact on the safety and security of industrial units. The extensive video analytics machine learning cameras not only provide security and protection to your machines but also the employees, and materials, by providing real-time alerts if any foreseen activities befall the cameras. They would then initiate an alarm immediately.

The applications of Video Analytics integrated with AI, help manufacturing industries to increase output and manage energy consumption effectively, and enhance overall product quality. 

Sparrosense AI Supervisor develops high-quality video analytics system software that can be easily installed in your high definition CCTV cameras. It provides information in such a way that real-time decision making is notably enhanced and if any production halts or is hindered by any chance, our security video analytics AI solution would help to check this problem, going way beyond CCTV and enabling to rectify the problems which would then improve the manufacturing process. When any unforeseen situations occur, you can swiftly access, review, and share the video footage and can know the root cause of the problem; hence rectifying it becomes much easier.

a captured image from the CCTV of the shop-floor
Sparrosense’s Integrated CCTV camera’s surveillance footage

It helps in cutting costs as it doesn’t require any person sitting around the clock and managing multiple screens at once to check if all the processes are going on smoothly.  

Is Video Analytics better than other solutions?

Earlier sensors were primarily used for creating alarm alerts if any unusual behavior happened, but these alarms were very basic and created restlessness in the workspace and were often ignored, and the severity of the situation couldn’t be analyzed. But, now the perception of Video Analytics Systems integrated with AI has opened a gateway to tremendous possibilities ranging from alert notifications to identifying the particular step in the manufacturing process in the workplace that may be causing a delay in the production. The rectification of these errors then becomes easier as the source and the solution of the problem is known to the user because Sparrosense not only tells the problematic step but also gives ways to solve it. It also plays a vital role in taking care of safety and security, business operation, human resource, and other aspects in the workspace.

three people looking at the laptop to check the reports of the shop-floor performance
Managers studying reports of SparroSense software on their device and planning to make changes acc


The Manufacturing sector is undoubtedly leading the way in the application of artificial intelligence technology integrated with Video Analytics. From significant cuts in unplanned downtime to better effectiveness of everyone at the workspace, manufacturers are applying AI-powered analytics to data to improve efficiency, product quality, and the safety of their employees.

In manufacturing, the maintenance of the production line machinery and equipment poses a major expense, which in turn has a crucial impact on the bottom line of any asset-reliant production operation.

For this reason, predictive maintenance has become a must-have solution for manufacturers who can benefit from being able to predict the next failure of a part, machine, or system.

This helps in the reduction of the costly unplanned downtime and also helps in extending the Remaining Useful Life (RUL) of production machines and equipment.

Adapting to an ever-changing market

Artificial intelligence is a crucial part of the Industry 4.0 revolution and is not only limited to use cases from the production floor, but these algorithms can also be used to optimize manufacturing supply chains, which helps in anticipating market changes for a company. This gives management a huge advantage, i.e. moving from a responsive mindset to a strategic one.

The manufacturing sector is a perfect fit for the application of artificial intelligence combined with video analytics; it is a full-proof method to ensure high efficiency of workers and damage control, among many other benefits in the manufacturing industry.

Considering that the Industry 4.0 revolution is still in its early footsteps, but even then, we are already witnessing significant benefits from AI, and these can not be overlooked. AI is already bringing about a change in which we manufacture products and process materials.

The whole manufacturing industry is currently moving from traditional production practices towards new technology, i.e., AI and automation, quality control, and surveillance practices.

In such environments, the Sparrosense algorithm on standard cameras (as data capturing devices, sensors) makes working environments smarter, more effective, and more secure. Traditional control centers up till now where specialists watch computer screens around the clock are now a thing of the past wherein they could intervene or inform if there is a process disruption or safety issue.

Technician studying the Sparrosense implemented data on her laptop


Sparrosense recognizes and alerts defined anomalies or abnormalities in real-time to the relevant stakeholder, on any device so that the issue can be taken care of instantly.

For customer-specific requirements, the Sparrosense algorithm is always fine-tuned to clearly defined goals.



About the Author

Palak Budhraja is a marketer at Sparrosense and her days are spent understanding how the customer wants to buy and making a smooth journey for him. By the night she is either a cook, a reader or an artist.