Pozest
Pozest knows your moves
Description
With Pozest, identification of human posture is no longer a challenge. A Deep Convolutional Neural Network (CNN) Based application, it identifies and joins localized body key-points to recognize human posture. The application has the capability to detect postures of multiple people in real time.
Business Applications
Features
2D
Mixture model helped us figure the relationship between joint points on a human body. This forms a basis of posture estimation. Deformable parts i.e. collection of template models, are specially configured for every template.
1
3D
Posture estimation allows us to accurately determine the spatial placing of a targeted object. Compared to 2D estimation, this is more complex due to added factors that need to be taken into consideration to make an accurate prediction e.g. background scene.
2
3D
Posture estimation allows us to accurately determine the spatial placing of a targeted object. Compared to 2D estimation, this is more complex due to added factors that need to be taken into consideration to make an accurate prediction e.g. background scene.
2
123 MVP
A Complete MVP in 1 Month
Our product innovation and software development is spearheaded by an agile approach led by experienced founders and a tech-savvy team of Developers and UX/UI designers.
USA
120 Evergreen Village Sq, San Jose, California, 95135, US
+1 (408)
contact@milestonezero.net
Pakistan
Office # 701, Al-Hafeez Executive, M M Alam Road, Gulberg, Lahore, Punjab 54700, Pakistan
+92 (321) 966-8123
contact@milestonezero.net
For Careers
resume@milestonezero.net