Shu Ma

at Priza Technologies

Shu Ma's Professional Contact Details

Email (Verified)

****@prizatech.com

Get Email Address

+91 98199 35510

Location

San Jose, California, US

Company

Priza Technologies

Shu Ma's Current Company Details

Priza Technologies

Mumbai, Maharashtra, India • 6 Employees

computer software

Priza Technologies is a business startup founded by a team of researchers, technologist, entrepreneurs and marketing people in various fields. Priza Technologies works in High-tech software development firm working on various areas of Computer Vision, Object Recognition, 3D object model tracking, pattern recognition, Natural Language Processing etc. We focus on novel and research technology, enabling companies to solve difficult problems with high performance and at a product scale. We are experts at Algorithms, Mathematical Modeling, Image Processing, Computer Vision. Priza Technologies is focused on creating next level visualization and automation products based on computer understanding of video (Computer Vision). Priza Technologies use this understanding of videos to create and integrate with various areas of visualization, automation, entertainment, security and communications. Priza Technologies is developing cutting edge technologies in Augmented Reality, Projector fidelity and 3D view interpolation using novel sophisticated pattern recognition and mathematical solutions. The USP of Priza Technologies lies in Intellectual Property, core technical research and innovative applications in "Reality based Visualization and Automation". This enables the next level of visualization and automation of data, concepts and reality to the end consumers. Priza Technologies provides the end consumer with 2 types of tools; first type, which enhance the visualization and create novel visualization based on reality and the second tpye, which extracts information from video in real-time to be used for security or automation. Priza Technologies domain capability expertise and reduced learning curves enables significant compression in time-to-value deliverables. It employs advanced Computer Vision techniques to use the real world visual data, GPS data, accelerometer data and RFID data to significant advantage of the customers.