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ARDUINO TEAM — June 24th, 2020
If you’re interested in embedded machine learning (TinyML) on the Arduino Nano 33 BLE Sense, you’ll have found a ton of on-board sensors — digital microphone, accelerometer, gyro, magnetometer, light, proximity, temperature, humidity and color — but realized that for vision you need to attach an external camera.
In this article, we will show you how to get image data from a low-cost VGA camera module. We’ll be using the Arduino_OVD767x library to make the software side of things simpler.
Hardware setup
To get started, you will need:
- Arduino Nano 33 BLE Sense with headers
- OV7670 CMOS VGA Camera Module
- 16x female to female jumper wires
- A microUSB cable to connect to your Arduino
You can of course get a board without headers and solder instead, if that’s your preference.
The one downside to this setup is that (in module form) there are a lot of jumpers to connect. It’s not hard but you need to take care to connect the right cables at either end. You can use tape to secure the wires once things are done, lest one comes loose.
#machine learning #camera
