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industrial_monitoring

The fourth industrial monitoring revolution has introduced healthcare manufacturers to revolutionary tools and processes. Plant managers are expected to constantly improve the quality of their products and reduce costs through the innovative application of these tools.

For healthcare manufacturers, this means transforming their infrastructure digitally to have the power of data, real-time insights, and automation to stay at the forefront of life sciences manufacturing.

Leveraging this transformation is key to ensuring employee safety, improving productivity, and employing insights to make data-driven decisions.

AI-powered computer vision is the answer; computer vision enables cutting-edge industry practices to boost efficiency, anticipate market shifts, and manage risks.

Xavor has organized a webinar, ‘Industrial Monitoring Using Computer Vision.’

Our guest speakers, Dr Usman Ghani, Professor of Computer Science & AI, and Farhan Azhar, Technical AI Lead, will share real life examples;

How they deployed computer vision in manufacturing units to make superior decisions and drive organizational growth.

Among the topics of discussion in the webinar, our speakers will talk about these computer vision capabilities that you can employ to outmatch your competitors:

Enable Speedy Quality Control:

Manual quality checks slow down production and posit risks of human error. Also, testing samples for defects results means a constant incurring of cost because of wasted material. 

Visual inspection via computer vision allows real-time monitoring of the products as they move along the assembly line at a dynamic pace. It has a low margin of human error and is at least 94% accurate. It also enables manufacturers to scan for defects without compromising product integrity, resulting in minimal wastage. 

Ensure Employee Safety:

Not wearing recommended safety gear exposes employees to various diseases, chemical burns, electric shocks, cuts, and punctures that slow down production. A computer vision-based innovative safety gear detects the PPE with high accuracy and low response time.

Similarly, through contact tracing, computer vision helps prevent the spread of infectious diseases. Manufacturers easily separate the affected employees from the healthy ones and continue operations with no downtime.

Automate Attendance:

One of the most common reasons behind the spread of diseases at a workplace is having multiple contact points. A facial recognition-based attendance system significantly minimizes the need for contact points by marking employee attendance from a safe distance. It saves employees’ time and boosts productivity by:

  • Registering a worker quickly on a GPU-based system.
  • Managing the record of attendance information.
  • Minimizing the chances of proxy.

Detect Hazardous Spills:

An unsafe production facility severely compromises employees’ productivity and causes manufacturing delays. Computer vision helps you keep health hazards at bay by detecting the spillage of hazardous materials in real-time.

In case of a spillage, the system immediately detects it and sends an alert. This considerably reduces health risks without compromising employee productivity.

Make Intelligent Decisions:

Poor or delayed decision-making concerning employee safety, management and product quality accrues costs and drives down performance. Computer vision empowers manufacturers to gather high-quality data related to employee safety and productivity and garner those insights to make better decisions.

Conclusion:

Xavor provides all-in-one industrial monitoring services to enhance manufacturers’ existing infrastructure. Through our proprietary algorithms, manufacturers can transform their processes digitally and be at the frontier of the new industrial realm.

Join our webinar on July 8, 2021, to learn how computer vision can enable you to deploy Industry 4.0 best practices.

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Sanveed Adnan

Sanveed Adnan

Sanveed is a Content Strategist at Xavor Corporation, where she plans, creates, and manages content. When she is not working, you can find her binge-watching TV shows, painting or reading philosophy articles.