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Video Analytics and its Use Cases in Manufacturing

Analytics is where enhanced video surveillance systems shine. They provide artificial intelligence and machine learning that catapult modern digital surveillance solutions far beyond their analogue ancestors' capabilities.
CCTV camera showing different analytics

Video Analytics and its Use Cases in Manufacturing. (Source- asmag.com)

Analytics is where enhanced video surveillance systems shine. They provide artificial intelligence and machine learning that catapult modern digital surveillance solutions far beyond their analogue ancestors' capabilities. Examples of analytic functionality found in enhanced video surveillance solutions include:

•Motion detection 

•Object movement detection 

•Line- or boundary-crossing detection 

•Case management 

•Video synopsis 

•Customizable dashboards

•Business system integration

These analytic capabilities may be found across a variety of components. Some features may be built into cameras and other sensors deployed on edge. Many may be core features of the organization's video management solution, while specialized functionality may require add-on software such as Sparrosense.

Innovation and adaptation are essential to the production industry now. Artificial Intelligence has the potential to assist engineers' and researchers' approaches in addition to mitigate the challenges made by fierce competition, a continual shift in consumers' product preferences, and budget constraints. Manufacturers search for the edge keeping them afloat at a sector subject to volatile conditions, such as economic slowdowns. 

AI-powered technologies facilitate negotiations and interactions with all organizations. This, then, contributes to shorter development cycles and faster product-to-market times. Consumer's needs and penchant for customization require producers to place a great deal of importance on their efficiency and productivity to keep pace with this demand. Two key AI technologies, learning, and natural language processing can optimize engineers' work procedures. All these AI-powered technologies could integrate customer feedback into the design or creation process in real-time, which will remove waste and enhance engineering efficiency.

In a market where profit margins are minimal, manufacturers always search for efficiencies. The business can utilize artificial intelligence technologies to make value-based decisions, ensuring optimal use of tools. 

As an example, a car manufacturer could use technology to extend a choice by showing that the yield is justified by the cost of the growth when taking it to market to improve the horsepower of a car. 

Project managers face the challenge of product design synchronization with procedure capabilities. Item layout difficulties are aggravated when factories have non-collocated design engineering support scattered across the globe with restricted visibility into surgeries wellness (inventory, design, supplier, machine wellness, scheduling). Fortunately, providing solutions to issues is an area in which artificial intellect evolves.

A more effective and conclusive approach to procurement can help optimize inventories and balance the supply chain in real-time. Technologies offer on functionality provider machine availability and downtime.

In the same way, predictive and predictive analytics can reap supply and demand planning. Predictability in operations has been unexplored by producers: Most of the information that operators have been able to collect and analyze in the past is capable of presenting past information for human processing, but before machines have not been able to teach themselves what's next mostly.

How is Video Analytics increasing the manufacturing industry's efficiency?

Video Analytics technology has evolved to be a wise business tool, supplying companies with not only movie surveillance but also tools to create a more efficient and secure working environment. 

Primarily, video analytics are utilized to make alerts when behavior rules are violated, helping to detect other behaviors and criminal acts. Motion-specific warnings created frequent alarms and were basic. With time, this became annoying, and the signals were ignored, and these alarms can also be tampered with. Video analytics no longer served its function. Due to the improvements' caliber, surveillance cameras function to the advantage of security teams, human resources, business operations, and other integral departments.

1) Personal Safety

Workplace accidents cause productivity and downtime. While management may present a business hazard by producing a workplace, workers may work.

Video surveillance cameras may be set up near moving manufacturing equipment, machines, or automobiles, where employees function. By producing "don't mix" lines at a camera field of view, the camera can make an alert whenever an individual crosses a digital line up near machinery or automobile paths. Before the employee contributes to a secure place, this alert may visit a buzzer or siren, or perhaps stop a manufacturing line.

2) Heavy Equipment Operations

Vehicles are limited to travel pathways. Cameras once a path is broken, initiate an alarm, siren or rotating lighting in the region and can even track these pathways. 

3) Asset Protection

Conveyor belts keep production and carry significant bundles. When packages are not flowing across the manufacturing point or fall from a conveyor belt, an alarm may be sent into managers that were operational alerting them.

4) Inbound/Outbound Management

The beauty of enhanced video surveillance systems empowers organizations to achieve two or more of these use cases with single infrastructure investment. The same technology that provides traditional physical security can also monitor worker safety and measure operational efficiency. These multiple applications improve the cost-effectiveness of capital expenditures and increase the organization's return on investment.

Cameras were deployed by video analytics in alerting coordinators, enabling teams to be ready for deliveries and loading docks can alarm organizations whenever the delivery truck departs or arrives. The video analytics may be employed when entry streets or parking lots have been obstructed with vehicles to make an alert. An alarm can be caused by cars. A third-party consultant can help sort out the features and capabilities that best meet the manufacturer's needs while remaining within financial constraints

Video analytics solutions are advantageous for large manufacturing industries. It brings efficiency to the entire security process. The security system data can be used in a better way to reduce crime and increase safety. It also helps to get an emergency response with other systems, including police, fire control, and traffic control. Some unforeseen activities such as tampering with equipment, machine are high all-time in industry areas. To avoid such events and rectify them, video solutions have become a must-have to all manufacturing industries.

Real-time video analytics software companies is an emerging AI technology that enables a significant impact on the safety and security of industrial units. The full video analytics machine learning cameras also provide security and protection to your group, employees, and materials. They provide real-time alerts if any foreseen activities befall the cameras installed would initiate an alarm immediately.

In my humble opinion, I think that video analytics is something which all organizations should consider investing in because, the benefits that it bears are far more than the cost it comes with. 

For more information about this, you can contact us personally contact@sparrosense.com.

We’d be happy to help.

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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.