A face detection POC that works with HOG and Neural Networks


Liiper Face Recognition

  • What is the purpose of this POC: Show how face recognition works and be able to train models on HOG and deep learning architecture.

Link to DEMO or 30s VIDEO of the project


  • What is the benefit for the customer: A customer might for example be recognized by an assistant without having to type in his name.
  • What is the benefit for the business: A business owner might create more natural experiences for his users.


  • How much MD did you use to build it: 5MD.


  • Which data is it based on: Images of Liipers, one image per person is enough.

Used Technologies

  • Which technologies were used: Deep Learning, HOG Model, OpenCV


  • Which things could be build with this POC if you had more time: The sky is the limit, yet there are severe ethic considerations when building a face recognition.