2. Objective
- Find a method to count # of people efficiently
- Build a human counter with embedded system.
- Small
- Low cost
- Low energy-consumption
- Real-time
3. Related Works
- Digiten human counter - photoelectric sensor
- Density - depth sensor
- Gazelle - infrared thermal sensor
4. Components
- Hardware
- Raspberry Pi 3 model B with Raspbian Jessie
- Logitech C920 webcam
- Arduino Uno
- Temperature Sensor DHT11
- Button
- Software
- Image Processing Library - openCV 3.0
- Arduino IDE
- wiringPi
6. Results
- Develop a nearly real-time human counter
- Low distance error
- High recognition rate 95%
- High detection rate over 85%
- Image processing rate up to 20 fps
(Please refer to full text for more information )