![]() On the R-Pi, locate the port labeled “camera”.External Timer (Recommended alternative *Not discussed in the tutorial)įirst, we need to properly install the R-Pi camera to allow us to take photographs.USB Cable (Will require stripping unless you also purchase a USB breakout).5-Watt 6 Volt Solar Panel – ETFE (3.5 Watt panel is shown above).Wi-Fi Connection (this could be done with cellular or LoRa, but we used Wi-Fi for simplicity here).Required Components for Solar-Powered Object Detection ![]() This means that on average the R-Pi is active over a 15-hour period each day instead of 24 hours. It is also important to note that the project utilizes a photoresistor that will prevent the R-Pi from turning on at night. If you intend on changing any parameters, it is important to recalculate and reselect an appropriate solar panel. For New York City, I recommend the use of a 5.5-Watt solar panel to prevent any power supply issues year-round. ![]() The project will require a total of 4.61 Watt-hours each day. The following table details all electrical loads associated with this project. After a period of 5 minutes, the R-Pi turns off.Īs in all other solar-powered applications, we must make proper power consumption estimates to select an appropriate solar panel for our purpose.An email containing a count of detected objects is sent to a designated email address.The photo will be passed through a neural network for object detection.The R-Pi will turn on every 30 minutes.This project will function in the following way. The system is designed so that the Pi shuts off in between detection events and can be powered by a small solar panel and IoT battery pack. This tutorial will introduce you to an object detection application for the Raspberry-Pi (R-Pi) running with Open CV that consumes very little power. DIY, Tutorial Solar Powered Edge AI Introduction
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