We are a team of highly trained and experienced engineers, designers and developers working in Computer Vision, Machine Learning and Machine Vision technology domains. As we, humans, use our vision as the primary source to collect information about our environment, the prospect of creating computerized equipment that can capture and understand the information using vision is tempting.
At SensoVision, we have developed vision based solutions for industries such as advertising, Retail and Industrial Automation for Quality Inspection.
SENSOVISION AT A GLANCE printing and typesetting industry.
Fastener Industry acts as the back bone for any industry. The major clients of the Fastener industry are automobile, avionics and electronics. After Industrial 4.0, quality requirement in the fastener industry has become further stringent. These sectors are adopting automation for their end to end operations.Read More
The pharmaceutical industry produces millions of tablets each week, all of which must be carefully scrutinised before being packed and shipped to distributors. During this inspection, drug manufacturers must ensure that the correct amount of medication, with the exact chemical composition and weight.Read More
When you wash your car manually, you do not wash it but degrade its value. When you give hand wash to your car, it guts and become abrasive. Not only this it also degrades its paint appearance and looks. This highly impacts its resale value.Read More
Individual retail stores employ numerous methods to advertise their products, indoors. Mannequins, pamphlets, display screens for advertising their items or sales and offers they may be having are some of the examples of retail advertising.Read More
Big brands spend a lot of money to advertize their products at public places such as malls, stations etc with digital signages being the preferred medium for advertising. The disadvantage of these digital signage based advertisements is, crucial informationRead More
We have quite lucrative packages which you would never like to miss.