MosChip®

Face Analytics Solutions Using Azure ML Services

A case study of AI Engineering
The client is US based manufacturer and distributor of audio-visual automation and integration equipment for commercial spaces such as meeting/ conference rooms, auditoriums, hospitals, malls, banks, etc. The client approached Softnautics to help them build Microsoft Azure based face recognition solution targeted to their clients as next-gen solution. Face analytics has many use cases in industry today like face detection to count the number of people, premise access, attendance, and many more. Face identification has enabled an enhanced access control experience during Covid-19 by maintaining the hygiene and security.
  • Achieved Machine Learning model accuracy as high as 90%
  • Upgraded client’s product positioning and market reach with Azure based Machine Learning application

Face Analytics Solutions Using Azure ML Services

A case study of AI Engineering

The client is US based manufacturer and distributor of audio-visual automation and integration equipment for commercial spaces such as meeting/ conference rooms, auditoriums, hospitals, malls, banks, etc. The client approached Softnautics to help them build Microsoft Azure based face recognition solution targeted to their clients as next-gen solution. Face analytics has many use cases in industry today like face detection to count the number of people, premise access, attendance, and many more. Face identification has enabled an enhanced access control experience during Covid-19 by maintaining the hygiene and security.
  • Achieved Machine Learning model accuracy as high as 90%
  • Upgraded client’s product positioning and market reach with Azure based Machine Learning application
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