wzlh007/Smile-Detector

Photo Booth Recognition CV

Smile Detection

Using Face++ API. Note python2.7 is required.

1. Hardware Drivers

Using the tessel board and accompanying camera module, we modified existing JavaScript drivers to perform to our needs. Such as file directory handling and naming convention. Hardware Drivers are viewable at:

https://github.com/xenonvector/Hackathon/tree/master/tessel-code

2. Analysis

This is a demo of the combination of our tessel hardware and Face++ API hack. This is the main file that initializes analysis on the facial image. It calls on Face++ API and with the combination of a BASH script, the process is executed from taking a picture to generating the analysis.

Sample Picture #1:


Sample Output #1:

Jim Parsons
  {'face': [{'attribute': {'age': {'range': 7, 'value': 33},
                           'gender': {'confidence': 99.9936,
                                      'value': 'Male'},
                           'race': {'confidence': 97.6082,
                                    'value': 'White'},
                           'smiling': {'value': 2.70393}},
             'face_id': '1f470bc56b3e361d90d87545e8b836af',
             'position': {'center': {'x': 42.19457, 'y': 24.166667},
                          'eye_left': {'x': 37.580317, 'y': 20.741},
                          'eye_right': {'x': 46.056561, 'y': 20.11},
                          'height': 13.333333,
                          'mouth_left': {'x': 39.800679, 'y': 27.785167},
                          'mouth_right': {'x': 46.00181, 'y': 27.373333},
                          'nose': {'x': 41.772398, 'y': 24.882167},
                          'width': 17.873303},
             'tag': ''}],
   'img_height': 1220,
   'img_id': '0cf42f603fc9ddcbf890f7b8d49b40d4',
   'img_width': 900,