WOBOT

Wobot Intelligence helps businesses make sense of this data by implementing a layer of Artificial Intelligence which makes the system capable of doing surveillance on behalf of the human eye. 

USP

·       Facial Recognition to recognize repeat users. Having multiple nodes for maximum accuracy via facial recognition.

·       Detection of customer experience and age, the model uses 120 facial nodes to detect emotion and age.

·       Detection for Table occupancy and person count in the user posture and person detection to determine start and stop of class.

·       Attendance: the model uses facial recognition for staff attendance. Get rid of registers and biometrics.

·       Detection of Human activity through posture detection.

·       Hygiene and cleanliness detection.

Team

Founder & CEO- BBA in Finance & Marketing from Purdue University and Masters from IE Business School, Madrid, Spain.

Chief Product Officer- Alumnus of Delhi University. Exposed to startups since a very young age.

Chief Operating Officer- B-Tech in Electronics & Comm from Jaypee Institute and MBA in Marketing from NMIMS.

Chief Technology Officer- Bachelors in Computer Engineering from C.U. Shah and Masters Comp. science from Nirma University of Science & Technology.

Chief Commercial Officer- Alumnus of Purdue University and Bachelors in Computer & Information Sciences  and Support Services.