Setting Up the Pi Zero Wireless Pan-Tilt Camera
Contributors:
SFUptownMaker
SFUptownMaker 
Resources and Going Further
Now that you've successfully got your Raspberry Pi Zero Wireless Pan-Tilt Camera up and running, it's time to incorporate it into your own project!
For more information, check out the resources below:
- SparkFun Pi Servo Hat Hookup Guide
- Raspberry Pi Foundation: Raspbian Jesse Image
- Etcher
- Official Raspberry Pi Camera Web Interface Documentation - We've gotten you through installation and setup, but to get the most out of the camera, you'll need to check that page out.
- GitHub Repo
- Raspberry Pi Camera Web Interface - Official repository for the web based interface for controlling the Raspberry Pi Camera, includes motion detection, time lapse, and image and video recording.
- SparkFun Pan/Tilt Example Code - Demo code used in the Setting Up the Pi Zero Wireless Pan-Tilt Camera tutorial.
- SparkFun Product Showcase: Pi Zero W Pan-Tilt Camera Kit Demo
- Shawn's Pan/Tilt Time Lapse Demo Code - Python demo code that was used for SparkFun's product showcase
Need some inspiration for your next project? Check out some of these related tutorials:
Hackers in Residence: The Sound Visualizer
A fun project that uses a Raspberry Pi and a custom Java app to create your own sound visualizer using a RGB LED matrix.
Headless Raspberry Pi Setup
Configure a Raspberry Pi without a keyboard, mouse, or monitor.
Computer Vision and Projection Mapping in Python
Use computer vision to detect faces and project images on top of them.
Getting Started with the A111 Pulsed Radar Sensor
Get started with the Acconeer A111 SDK with a Raspberry Pi! The tiny A111 pulsed coherent radar (PCR) adds high-precision, cutting-edge distance measurement for speed-, material-, motion-, or gesture-sensing projects! We’re not talking about simple ultrasonic, or even infrared sensors here, but 60GHz radar!
Or check out the IoT Raspberry Pi Camera Refrigerator project to see what's in your fridge or what is happening in another room to monitor experiments.
Code for the project can be found on GitHub: IoT_FridgeCam