Machine Learning based Continuous Authentication by People's Gait Pattern

I&T Solution Machine Learning based Continuous Authentication by People's Gait Pattern
(REF : S-0093)
Matched I&T Wish
Trial Project
Solution Feature
  • The objective of the solution is to provide a real-time management tools for the site management team in HQ, who can monitor the workers activities in a remote site.
  • Work with management team, especially who has a lot of remote sites and has various sub-contractors who are necessary to work on these remote sites from time to time.
  • The technology of the service is the Continuous Authentication by People’s Gait Pattern. Any worker working in the site can be identified.
  • Other than identifying if he is a right worker authorized to work in the site at the schedule date and time, it is possible to detect the accident of the worker.
  • Other kind of activity detection will be support, e.g. stationary, climbing, walking quickly around, up and down stairs, as well as their indoor location history.
Info on I&T Solution Provider
Solution Provider:Lambda Sense Limited
Address:D1-D3, 33/F, TML Tower, 3 Hoi Shing Road, Tsuen Wan, Hong Kong
Contact Person:Mr Barry Leung
Position:Founder and Director
Tel: 9167 9250
Email: barry.leung@lambdasense.com
Webpage: http://www.lambdasense.com

For details of the above I&T solution, please contact the I&T solution provider.