Difference between revisions of "Template:PAJ7620U2-Gesture-Sensor-Manual"

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(Created page with "==Features== *Based on PAJ7620U2 sensor, directly recognizes 9 basic gestures, supports gesture interrupt output *Embedded infrared LED and optical lens, be able to work in lo...")
 
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;Hardware connection
 
;Hardware connection
 
The colors of wires may be different, please connect it according to the silk screen printing.
 
The colors of wires may be different, please connect it according to the silk screen printing.
:[[File:PAJ_hardware_connection16.png|600px]]
+
[[File:PAJ7620U2-Pi-WS.jpg|900px]]
 
{|class="wikitable"
 
{|class="wikitable"
 
!Gesture Sensor!!Raspberry Pi (Board)!!Raspberry Pi(BCM2835)
 
!Gesture Sensor!!Raspberry Pi (Board)!!Raspberry Pi(BCM2835)
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*Object detecting
 
*Object detecting
 
:[[File:Program_effect_2.png|800px]]
 
:[[File:Program_effect_2.png|800px]]
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===STM32 examples==
 
===STM32 examples==
 
The STM32 examples is based on Waveshare XNUCLEO-F103RB whose chip is STM32F103RB, HAL libraries.
 
The STM32 examples is based on Waveshare XNUCLEO-F103RB whose chip is STM32F103RB, HAL libraries.

Revision as of 07:40, 27 May 2020

Features

  • Based on PAJ7620U2 sensor, directly recognizes 9 basic gestures, supports gesture interrupt output
  • Embedded infrared LED and optical lens, be able to work in low-light even dark environment
  • I2C interface, requires only two signal pins to control
  • Onboard voltage translator, compatible with 3.3V/5V logic level

Specification

  • Operating voltage: 3.3V/5V
  • Communication interface: I2C
  • Recognition distance: 5cm ~ 15cm
  • Supported gestures: up, down, left, right, forward, backward, clockwise, anticlockwise, shake
  • Recognition rate: 240Hz
  • Recognition angle: 60° (diagonal)
  • Ambient light immunity: <100k Lux
  • Dimensions: 20mm × 20mm
  • Mounting hole size: 2.0mm

Interface

PIN SYMBOL!!Description
1 VCC 3.3V/5V
2 GND Ground
3 SDA I2C data pin
4 SCL I2C clock pin
5 INT External interrupt pin

How to use it

We provide demo codes for easy testing, you can download the demo codes from #Resources

Unzip the archive downloaded to get the codes.

Raspberry Pi

  • Insert the Micro SD card of Raspberry Pi to host PC.
  • Copy the RapberryPi folder to boot directory of the micro SD card.
  • Start your Raspberry Pi with the Micro SD card
  • You can find that the RaspberryPi codes are saved in the BOOT directory.
PAJ-6.png
  • Copy the folder to home directory
sudo cp -r /boot/RaspberryPi/ ./
sudo chmod 777 -R RaspberryPi/
cd RaspberryPi
PAJ-8.png
PAJ-9.png
Install libraries
  • BCM2835:
wget http://www.airspayce.com/mikem/bcm2835/bcm2835-1.64.tar.gz
sudo tar zxvf bcm2835-1.64.tar.gz
cd bcm2835-1.64
sudo ./configure
sudo make
sudo make check
sudo make install
  • Install wiringPi
sudo apt-get install git
sudo git clone git://git.drogon.net/wiringPi
cd wiringPi
sudo ./build
  • Install python
sudo apt-get install python-pip 
sudo pip install RPi.GPIO
sudo pip install spidev
sudo apt-get install python-imaging
sudo apt-get install python-smbus
sudo apt-get install python-serial
Enable I2C
sudo raspi-config
  • Choose Interfaceing Options -> I2C -> Yes
Hardware connection

The colors of wires may be different, please connect it according to the silk screen printing. PAJ7620U2-Pi-WS.jpg

Gesture Sensor Raspberry Pi (Board) Raspberry Pi(BCM2835)
VCC 5V 5V
GND GND GND
SDA 3 SPIP2
SCL 5 P3
Run the codes
  • BCM2835 codes
cd ~/RaspberryPi/bcm2835/
cd Gesture
sudo make
sudo ./PAJ7620U2
  • wiringPi codes
cd ~/RaspberryPi/wiringPi
cd Gesture
sudo make
sudo ./PAJ7620U2
  • Python codes
cd ~/RaspberryPi/python
cd Gesture			
sudo python PAJ7620U2.py
Expecture result
  • Gesture detecting
Program effect18.png
  • Object detecting
Program effect 2.png

=STM32 examples

The STM32 examples is based on Waveshare XNUCLEO-F103RB whose chip is STM32F103RB, HAL libraries.

Hardware connection

Connect the sensor to STM32 board according the table, then connect USB to UART interface of XNUCLEO board to host PC.

Gesture Sensor STM32
VCC 3.3V/5V
GND GND
SDA PB9
SCL PB8
  • Open the project (STM32 demo codes) with Keil software
  • Compile it and program to board
Expectre result
  • Run serial assistance software, set bard rate to 115200
  • Gesture Detecting:
Stm-2.png
  • Obeject detecting:
Stm-3.png

Arduino

The demo codes provide is based on the Arduino UNO

Hardware connection
Gesture Sensor Arduino
VCC 5V
GND GND
SDA 27
SCL 28
  • Open the codes by Arduino IDE
  • Compile and upload to Arduino Board
Expected result
  • Gesture detecting
PAJ7620u2-17.png
  • Object detecting
PAJ7620U2-19.png