ESP32 CAM based Object Detection & Identification System with OpenCV

hi everyone welcome back to our Channel where we showcase various DIY projects today we are going to show you how to make an esp3 to cam based object detection and identification system this system uses open CV and a pre-trained AI model to detect objects and identify them in real time this system can be used in various Industries for tracking objects people counting automated CCTV surveillance vehicle detection and more let's go through the list of materials you will need for this project esp3 to cam board FDI module USB cable jumper wires first we will connect the ES3 to cam modu to the ftdi module connect the 5 volt and gnd pins of the esp3 to module to the 5 volt and gnd pins of the ftdi module next connect the RX pin of the esp32 module to the uot pin of the ftdi module and the TX pin of the esp32 module to the U pin of the ftdi module do you need a custom PCV for your next project check out our sponsor pcb.com ordering a custom PCV is easy with pcb.com just upload your Garver files choose your preferences and let them handle the rest they offer plenty of customization options such as size layers shoulder marks color and surface finish their Advanced facilities ensure top notse manufacturing with quality control to ensure every board meets their highight standards plus they offer fast delivery at affordable pricing so you can get your custom pcvs quickly and without any hassle visit PCB way.com today to order your custom pcvs and take your project to the next level and don't forget to use the link in the description to get started installing the esp32 cam library to use the ES esp3 to cam with open CV we need to install an additional Library call the esp3 to cam Library go to the GitHub link provided in the description and download the zip file add this ZIP library to your ardino library folder open the ardino ID copy the code from the website link provided in the description and paste it in the IDE before uploading change the SS ID and password variables according to your Wi-Fi network sort the ioo pin with the ground and press the upload button if you see dots and dashes while uploading press the reset button immediately once the code is uploaded remove the io pin shorting with the ground now open the serial Monitor and press the reset button once again if everything works well then you will see camera okay text followed by an esp3 to Camp IP address just copy it we will need it in the python code to display the live stream of the video on your computer we need to install Python and some required libraries download and install python from python.org then open the command PR and install npy open CV and CV Lim libraries using the following commands pip install n py pip install open CV Python and pip install CV leave and tensor flow open any python code editor and copy the code from the website link provided in the description replace the IP address with the IP address shown in the ardino ID seral monitor run the python code and you will be able to see the live stream with object detection in separate windows and that's it for today you have successfully built an esp3 to cam based object detection and identification system we hope you enjoyed the video and learned something new today don't forget to like And subscribe to our channel for more DIY projects thank you for watching and we will see you in the next video

Channel: IoT Projects Ideas

Views: 9,158

Keywords: iotprojectsideas, iot projects, iot projects ideas, iotprojectsideas.com, object detection with esp32 cam, esp32cam object detection, esp32 cam projects, esp32 cam, object detection with ESP32 CAM Module, esp32 cam with opencv, esp32 camera opencv, esp32 cam module with opencv python, object detection with python, esp32 cam iot, esp32 cam iot projects, esp32 cam with opencv python, yolov3 for object detection with esp32 cam, yolov3 object detection, yolov3, cvlib, esp32 ai cam, iot

Id: 6a5M3xDH4GA

Length: 5min 57sec (357 seconds)

Published: Tue Jan 30 2024