Further Work
In our project, the speed, accuracy of the face recognition can still be improved. There are many CNN approach like dlib[5], but raspberry pi is too slow for it. We believe that one can implement a cloud based face recognition or use api from AWS to achieve this. Also, we can use gather more data for our customer behaviors judgement, such as customers’ expression.
References
[1] Bradski, G. (2000). The OpenCV Library. Dr. Dobb's Journal of Software Tools.
[2] "Force Sensitive Resistor (FSR)." Overview | Force Sensitive Resistor (FSR) | Adafruit Learning System. Accessed May 14, 2019. https://learn.adafruit.com/force-sensitive-resistor-fsr.
[3] "Adafruit HTU21D-F Temperature & Humidity Sensor." Overview | Adafruit HTU21D-F Temperature & Humidity Sensor | Adafruit Learning System. Accessed May 14, 2019. https://learn.adafruit.com/adafruit-htu21d-f-temperature-humidity-sensor.
[4] Adafruit Industries. "Raspberry Pi Camera Board V2 - 8 Megapixels." Adafruit Industries Blog RSS. Accessed May 14, 2019. https://www.adafruit.com/product/3099.
[5] Davisking. "A toolkit for making real world machine learning and data analysis applications in C++" GitHub. May 05, 2019. Accessed May 14, 2019. https://github.com/davisking/dlib.
[2] "Force Sensitive Resistor (FSR)." Overview | Force Sensitive Resistor (FSR) | Adafruit Learning System. Accessed May 14, 2019. https://learn.adafruit.com/force-sensitive-resistor-fsr.
[3] "Adafruit HTU21D-F Temperature & Humidity Sensor." Overview | Adafruit HTU21D-F Temperature & Humidity Sensor | Adafruit Learning System. Accessed May 14, 2019. https://learn.adafruit.com/adafruit-htu21d-f-temperature-humidity-sensor.
[4] Adafruit Industries. "Raspberry Pi Camera Board V2 - 8 Megapixels." Adafruit Industries Blog RSS. Accessed May 14, 2019. https://www.adafruit.com/product/3099.
[5] Davisking. "A toolkit for making real world machine learning and data analysis applications in C++" GitHub. May 05, 2019. Accessed May 14, 2019. https://github.com/davisking/dlib.