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.

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

MOBILIZE YOUR IDEAS

DISRUPT THROUGH EMERGING TECHNOLOGIES

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) 390-0000

contact@milestonezero.net

Pakistan

384-E, 2nd Floor, Ali Tower, Block E Phase 1 Johar Town, Lahore, Punjab 54700, Pakistan 

+92 (321) 966-8123

contact@milestonezero.net

For Careers

resume@milestonezero.net

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