Xavor is organizing a webinar on real life applications of computer vision in manufacturing
The fourth industrial revolution has introduced healthcare manufacturers to revolutionary tools and processes. Health tech manufacturers are expected to constantly improve the quality of their products and reduce costs with new technology.
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 the industry. Leveraging this transformation is key to ensuring employee safety, improving productivity, and employing insights to make data-driven decisions.
Dr. Usman, Professor of CS and AI, shares his experience deploying computer vision services for leading manufacturers, "Previously, manufacturers had to deal with frequent equipment breakdowns, hazardous spills and expensive time delays fixing out of order machinery on a daily basis. Computer vision is changing the game for manufacturers with high quality detection and predictive maintenance alerts. The sensors collect data and alert operations managers on hazardous spills, machine breakdowns allowing them to act quickly. Employee and machine data collated seamlessly in dashboards enable informed decision making for managers. We're proud of what we have accomplished with the power of AI."
Xavor Corporation has worked closely with leading medical device and life sciences manufacturers to realize their evolving needs. Xavor's computer vision enables intuitive industrial practices to boost efficiency, anticipate market shifts, manage risks, and surpass customer expectations.
'The most critical challenges life science manufacturers face include ensuring product quality, improving employee productivity, and making critical, time sensitive decisions,' says Farhan Azhar, Technical AI Lead at Xavor. 'Xavor addresses those gaps by providing manufacturers with game-changing computer vision capabilities that empower them through timely and accurate defect detection, facial-recognition based attendance with minimal error, high-quality data related to employee safety and productivity to make better decisions.'
Learn about the industrial applications of computer vision in life sciences manufacturing from AI thought leaders and experts and the impact of adopting this technology with practical examples from the webinar (https://www.xavor.com/
Who should attend:
Production Manager, Plant General Manager, Director Of Production Operations, Director Of Manufacturing, Plant Quality Manager, Manufacturing Technology Manager, Director Of Information Technology, General Manager Engineering.