Esp32 image recognition. Find this and other hardware projects on Hackster.
Esp32 image recognition 7 Seconds on ESP32-S3, whereas each neuron output and finally the predicted result is shown. These models are capable of a variety of complex tasks - detecting if a person is in frame, evaluating crop growth, or even estimating the weight of an object, all just from a photo! Welcome to the "ESP32-CAM Projects" page, a vibrant and innovative space dedicated to the exploration of the ESP32-CAM module's capabilities in the realm of advanced digital imaging and IoT. In this guide, you’ll learn how to set up the ESP32‑CAM (OV2640) for live video streaming, face detection, and face recognition using the Arduino IDE We provide the models as components, each of them has some configurable options. Mar 17, 2023 · An ESP32 camera (cam) can take pictures at 2MB per second rate and transmit them up to 200 metres using a small antenna on 2. In this research, the tool trying to be used is the ESP32 camera and his approach to several types of study, such as smart door locks. The project involves training the model, generating an INT8 quantized version, and integrating it with ESP32-S3 for efficient edge inference. We will also set up the Arduino IDE for the ESP32 Camera Module. 000 reported from Google). We’ll use the Arduino IDE to program the ESP32-CAM and Python program for OpenCV to build a face detection and recognition project. The application is designed for real-world deployment on Orange Pi and combines IoT, AI, and Python-based technologies for innovative text-to-speech solutions. In particular, we'll distinguish handwritten digits using an ESP32 camera. Intersection over Union The image recognition occurrence of intersection over union (IOU) explains what packets intersect. AI applications If you search on Google "esp32 cam face recognition arduino", you won't find a single result that shows you how to create a standalone sketch that does it (in ~191. This method is completely different from other ESP32-CAM Color Detection methods as we are not writing The DFRobot ESP32-S3 AI Camera Module (Edge Image Recognition, Night Vision, ChatGPT Voice Interaction) is a state-of-the-art device designed for efficient video processing and edge AI capabilities. Apr 12, 2025 · This article is a quick getting started guide for the ESP32-CAM board. It also supports image transmission via Wi-Fi and debugging through a Micro-USB Since the ESP32 has a 30 FPS frame rate, just to capture frames, it takes 1000/30 = 33 ms. ESP32-S3- The ESP32 series employs either a Tensilica Xtensa LX6, Xtensa LX7 or a RiscV processor, and both dual-core and single-core variations are available. Colour detection is necessary to recognize objects, it is also used as a tool in various image editing and drawing apps. In a close future we'll add micro-ros for improve communication With input coming from Face or Image recognition [13], ESP32-CAM is also used as a streaming camera tool like CCTV Camera. It excels in AI projects such as video surveillance, edge image recognition, and voice dialogue. Feb 27, 2025 · The ESP32-S3 AI CAM is an advanced camera module built around the ESP32-S3 chip, designed for video image processing and voice interaction. Look for the textbox labeled “Additional Boards Manager URLs”. This module features a 2-megapixel camera and uses industry-grade manufacturing technology. The ESP32-CAM module, equipped with a camera and onboard processing power, captures images of license plates and processes them using computer vision algorithms. Ideal for proof-of-concepts and quick demos. - Building an Jul 26, 2022 · A live video tutorial on how to implement your own ESP32 camera image recognition that runs at 100 FPS and requires as little as 1 kb of RAM. I always wanted to try something new with esp32 cam , so i challenged myself with this small project which is image recognition. The ESP32-S3 AI CAM utilizes the powerful neural network capabilities of the ESP32-S3 chip for edge-based image recognition with platforms like Edge Impulse, YOLOv5, and OpenCV. In [13], a wearable ESP32-CAM system for Alzheimer patients is proposed, streaming video to a Raspberry Pi running MobileNet and DenseNet models for face detection and recognition. It features an ESP32 chip, a 2-Megapixel camera and a microphone. Perfect for beginners who want to master ESP32-CAM setup, troubleshooting, and real-world applications. By utilizing the formidable neural network capabilities of the ESP32-S3 chip, this AI camera handles edge-based image recognition with ease. Combined with the video images captured by the camera, it can complete functions such as face recognition, color recognition, and QR code recognition. For support head to the Seeed Forum. This is Part One of the project, where I focus on: ️ Capturing images using an ESP32-S3 camera Buy ESP32-S3 AI Camera Module Edge Image Recognition Night Vision ChatGPT Voice Interaction - Camera, merupakan modul kamera pintar berbasis chip ESP32-S3 yang memiliki kemampuan pemrosesan video, AI di perangkat (edge AI) serta interaksi suara. ESP32-S3-EYE offers plenty of memory for image management, with an The model will then output a set of predictions, which you can use to identify the objects in the image. Test the system on different devices and configure image resolution for optimal results. It includes in-built antenna switches, RF balun, power amplifier, low-noise receive amplifier, filters, and power management modules as well. If there is already text in this box add a comma at the end of it, then follow the next step. ESP32-CAM Text recognition (Tesseract. The ESP32 series employs either a Tensilica Xtensa LX6, Xtensa LX7 or a RiscV processor, and both dual-core and single-core variations are available. In the this tutorials of the ESP32-CAM series, we saw that using the original code, we will be able to process face image from face recognition to face separation, but in cases where we need to recognize different objects, different models must be introduced to our code. Mar 16, 2024 · Seeed XIAO ESP32 S3 Sense development board has a camera, and ESP32 S3 chip is compatible with embedded TinyML AI tools such as Edge Impulse and SenseCraft AI, which initially has the ability to deploy image recognition models. It supports WiFi video live streaming, color/target/face recognition, line following, and more. Hardware Setup: Connect the camera module to the ESP32 board to capture images of passing vehicles. Relay Module: To control the door lock mechanism. I am currently working on ESP32 CAM and I am able to get the images through it. This repository contains a face recognition system built using MobileNetV2, optimized for deployment on ESP32-S3 via PlatformIO. Many of them suggest that you use images from Google/internet to train your model. Discover how to train and deploy a machine learning model directly on the ESP32-CAM and display the results on an SSD1306 OLED screen. 2 BR/EDR and BLE standards Wi-Fi 802. But my requirement is Product description ESP32-S3 camera module, based on high-performance ESP32-S3 chip. Nov 29, 2023 · Introduction In the tutorial regarding Computer Vision (CV) and the XIAO ESP32S3, TinyML Made Easy: Image Classification, we learned how to set up and classify images with this remarkable development board, and now, continuing our CV journey, we will explore Object Detection on microcontrollers. Welcome to the "ESP32-CAM Projects" page, a vibrant and innovative space dedicated to the exploration of the ESP32-CAM module's capabilities in the realm of advanced digital imaging and IoT. Jun 1, 2023 · ESP32 CAM DOOR LOCK CONTROL SYSTEM USING HUMAN RECOGNITION • ESP32 Cam Face Recognition Door Lock Syste ESP32 CAM SEND IMAGES TO GOOGLE DRIVE • ESP32 CAM Send Images to Google Drive, IoT How to use ESP32-CAM for Automatic Number Plate Recognition (ANPR) | CircuitDigest Cloud Circuit Digest 131K subscribers Subscribed Feb 23, 2020 · We continue exploring the endless possibilities on the MicroML (Machine Learning for Microcontrollers) framework on Arduino and ESP32 boards: in this post we're back to image classification. Build a simple ESP32 Camera Web Server that includes color detection and tracking of a moving object. The ESP32-CAM's built-in Wi-Fi allows remote monitoring and control via a web interface. We’ll show you how to setup a video streaming web server with face recognition and detection in less than 5 minutes with Arduino IDE. Adding this information to the forum so as to help people find it in the future if needed. You need public write permisions though, hard to do the tokens with the esp32. Sep 8, 2021 · Here at Edge Impulse, we’ve used the ESP32 with multiple different camera modules to run image recognition ML models on-device. Discover how to stream video, fix common errors, and explore creative IoT camera projects. From face recognition to surveillance systems - all skill levels! I will actually show you two methods of capturing images of your subject (s) - using a webcam or using the ESP32-CAM board itself. This time I will explain to you how to make a powerful object detection device that uses only an inexpensive ESP32 Camera module with a built-in FTDI USB to serial converter. Arduino IDE setup included. Featuring Wi-Fi, Bluetooth 5, and real-time AI processing, it’s perfect for home security, automation, and IoT applications. It is designed for embedded Machine Learning (ML) applications, particularly in intelligent voice and vision AI. Feb 13, 2025 · Overview This project is an AI-powered matchbox that captures images using an ESP32-S3, processes them via an AI model, and displays the results on a 1. Another approach to image recognition with the ESP32 CAM is using cloud-based services like Google Cloud Vision or Amazon Rekognition. Check out the GitHub repository for source code. Here we are using Transfer Learning (Images) it will fine tune a pre-trained image classification model on your data. May 29, 2023 · Overview This project is all about Color Detection & Tracking with ESP32 CAM Module & OpenCV. js) fuchungyi 1. Some others suggests to collect data using your smartphone. Here we have used the ESP32-CAM module, which is a small camera module with the ESP32-S chip. We will also upload the firmware and then work on the object detection & identification part. Enhance your image processing skills! Feb 23, 2025 · The face recognition system uses the ESP32-CAM module to capture images and perform facial recognition. Preprocessing: Converts Feb 4, 2025 · The ESP32 Edge AI Camera simplifies image data collection and AI training, offering seamless Edge Impulse integration for real-time AI processing. Featuring a 2MP camera, Type-C and IIC port, it includes comprehensive routines, schematics, and Linux for easy development and learning. Since the DSP plus classification time is only ≈ 12 ms, the image recognition happens in real-time between two consecutive frames, thus not altering the ESP32 camera's FPS. ESP-EYE is a development board for image recognition and audio processing, which can be used in various AIoT applications. Hardware Requirements ESP32-CAM Module: For capturing images and processing face recognition. Aug 21, 2024 · Explore 50+ ESP32-CAM projects with complete DIY tutorials, circuit diagrams, and Arduino code. To be able to identify the objects we want with self-learning. For that, python based OpenCV codes are available. The Seeed Studio XIAO ESP32S3 Sense is a powerful development board that utilizes the dual-core ESP32S3 chip, featuring an Xtensa processor running at speeds of up to 240 MHz. Oct 12, 2024 · ESP32 is a series of low cost, low power system on a chip microcontrollers with integrated Wi-Fi and dual-mode Bluetooth. Power Supply: To power the ESP32-CAM and the relay. Here we explore how to use OpenCV in your projects using ESP32 Cam. It will be able to classify objects by color and other characteristics in order to pick and drop them in the correct place. The purpose of this project is to create a robot arm with an esp32-cam, using artificial vision from opencv. Object Recognition On Board ESP32CAM I am looking for some examples of on board image recognition, apart from the standard face recognition example, but every time I go to look at a project they always talk back to a server of some kind where the actual work is done. Paste the following link into the text box and click the OK button Jun 18, 2025 · The esp32-cam module distinguishes itself with an integrated OV2640 camera, onboard PSRAM, and strong support for image capture, and face recognition. With an OV2640 camera, WiFi, and BLE 5,ideal for TinyML and image recognition. Find this and other hardware projects on Hackster. Dec 10, 2019 · Face recognition with the ESP32-Cam board. But no matter how high the processing power of ESP chips, we Jun 21, 2025 · The ESP32-S3 AI Camera is a cutting-edge intelligent camera module built around the high-performance ESP32-S3 chip, designed for efficient video processing, edge AI, and voice interaction. 25 faster, while the 8-bit model is 2. Still, the advantage of ESP32-CAM is that it is equipped with Artificial Intelligence (AI) using specific programming languages [7] or coding programs that can set the output for the research purpose. I want to process this image using OpenCV. I’ve used it in various contexts from responsive installations to remote May 29, 2025 · In IoT architectures, ESP32-CAM often serves as an edge device, transmitting image data to local or cloud-based AI systems for analysis. The ESP32-S3 AI CAM is an intelligent camera module designed around the ESP32-S3 chip, tailored for video image processing and voice interaction. Perfect for beginners in edge computing, this tutorial covers data acquisition, model training, deployment, and hands-on implementation. io. Mar 12, 2025 · Hello everyone, For a Week I have been trying to resolve an issue with my ESP32 CAM module, that I’m unable to capture images and unable to recognise faces with […] Hello Guys#esp32cam #image_recognition #esp32cam_ai #esp32cam_image_recognitionI always wanted to try something new with esp32 cam , so i challenged myself w Dec 2, 2022 · The model latency is around 0. Mar 7, 2025 · The ESP32-CAM captures an image, processes it for recognition, and updates the result on the TFT-LCD, all within less than 1 s. The ESP32-S3-EYE is a small-sized AI development board produced by Espressif. Feb 20, 2024 · The ESP32-CAM module typically costs around US $10 (though prices may vary), and is capable of still pictures, video streaming, and facial recognition. Realtime object recognition on esp32? How realistic is it to be able to run an image recognition model on an ESP32 that can only recognise 1 object? When using it with a camera and running a live video feed I'd like it to be able to recognise only one object, for example one specific person. Feb 18, 2022 · Speed is seen from the resolution specifications usedfor face recognition and image recognition, such as CIF and QVGA, and throughput (bytes)analysis of ESP32-Cam and Server using Wireshark. I've also followed YouTube tutorials to no avail. Ideal use cases and limitations The module has earned its place among digital artists, developers, and embedded system enthusiasts for its flexibility and affordability. Feb 25, 2024 · Learn how to detect and identify objects using ESP32 CAM, Python, OpenCV, and YOLO V3 for image processing projects. Object Detection versus Image Classification The main task with Image Classification models is to The ESP32 CAM's image processing capabilities make it ideal for this endeavor, enabling visualization of image labeling, face detection, OCR, and explicit content tagging. ESP32 is a series of low cost, low power system on a chip microcontrollers with integrated Wi-Fi and dual-mode Bluetooth. Aug 23, 2023 · In this tutorial, we will go through its features, pins description and the method to program ESP32 Camera Module using FTDI Module. 49K subscribers Subscribed 30 minutes to your very own Esp32 Image Recognition Create a working image recognition system that runs at 60 FPS in 1 Kb of RAM Have you ever wanted to perform object recognition on your cheap Esp32-cam in a matter of minutes? Do you want it to be easy and fast? This project is for you! Learn how to quickly implement your own object recognition system on the Esp32-cam by: collect images from Oct 14, 2022 · We evaluated TinyML-CAM by using it to create a RandomForestClassifier (RF) based real-time image recognition system, which ran at 80 FPS and consumed only 1 kB of RAM on ESP32. In this video, we demonstrate how to build an image recognition system using the ESP32-CAM module to identify vegetables like tomatoes, potatoes, and onions. OpenCV is a powerful library for image processing and computer vision that provides tools and functions for analyzing images and video streams. 5 times faster than without acceleration. How using random images from the web or from a 40 MP camera can help train a good model that will run on a 2$ camera hardware is out of my knowledge. Oct 30, 2024 · Learn how to build a real-time OCR system with the ESP32-CAM and Python. Apr 8, 2025 · UNIHIKER K10 AI Learning Board Features ESP32-S3 Xtensa LX7 for TinyML, Image Detection, and Voice Recognition DFRobot has introduced the UNIHIKER K10, a cost-effective AI learning device based on the ESP32-S3 development board, designed for STEM education. It features a 2-Megapixel camera, an LCD display, and a microphone, which are used for image recognition and audio processing. The image previous section depicts the mathematical likelihood of an identification phase in the frame. esp32cam module demo / shows how you can easily use the esp32cam including reading raw rgb data, streaming, displaying the image etc. For this project, we will use Clarifai’s image recognition AI models. It is suitable for AI projects such as video surveillance, edge image recognition, and voice dialogue. Contribute to WIRED-AI/ESP32-CAM-IMAGE-RECOGNITION-IMAGE-PROCESSING development by creating an account on GitHub. If necessary it can be a tiny bit behind, but not a lot. The ESP32-CAM serves the images through a local web server, and a Python script on the client side processes the stream for text extraction. 5*4. I found out that it acts as a server and a computer is required to access it, take the images and process that data. This tutorial introduces everyone to an efficient video streaming method wirelessly. Feb 18, 2022 · Images Recognition and Face Recognition are a form of artificial intelligence developed on Robots and Smart CCTV, such as technology currently developing, such as YOLO Real-time Object Detection and Images Recognition using Python language. The key features of this project are: 1)you can take a picture from the ESP32 CAM (inbuilt feature! Sep 7, 2024 · It is a fundamental task in various applications, such as surveillance, autonomous driving, and image retrieval. To activate this Feb 25, 2024 · Learn how to use ESP32 CAM, Python OpenCV, and YOLO V3 for real-time object detection and identification. Aug 30, 2024 · Adding ESP32-S3 to Arduino with Board Manager Click on the File menu on the top menu bar and click the Preferences menu item. Push Button or Switch: To toggle between Active Mode and Admin Mode (optional). In this project, we build a facial recognition system using the ESP32-CAM with Arduino. Cheers!! Mar 22, 2025 · The Seeed Studio XIAO ESP32S3 Sense is a compact development board that integrates a camera sensor, digital microphone, and SD card support. Let us understand in detailed about Object Detection and Identification by building our system using ESP32 CAM module with code and circuit diagram Jul 8, 2025 · Combining the ESP32 camera module and YOLOv3 in Python allows you to perform real-time object detection on images or video streams captured by the camera. Hello GuysHere is the part 1 one of the tutorial as requested 🧑🏻💻The key features of this project are:1)you can take a picture from the ESP32 CAM (inbuil May 30, 2025 · Learn how to run TinyML AI models on ESP32 with a step-by-step guide and a voice command recognition project using an I2S microphone. Nov 11, 2021 · Hi All. ESP-EYE offers plenty of storage, with an 8 Mbyte PSRAM and a 4 Mbyte flash. For that, I would need it to recognize different sculptures and react to them. Jan 27, 2025 · The ESP32-CAM is a powerful, compact, and affordable development board that integrates a camera module, making it ideal for IoT applications like security systems, image recognition, and remote monitoring. 3” SH1106 OLED screen. What types of cameras are supported on AI image recognition products? With ESP32 as its main control chip, ESP-EYE supports various types of cameras, such as 0V2640, OV3660, OV5640, OV7725, etc. Accuracy. Build camera projects, web servers, security systems & more. In this project, I built a low-cost LPR system using ESP32-CAM and Python with OpenCV. The key features of the ESP32-CAM module are given below: Mar 28, 2025 · License plate recognition (LPR) is widely used in security, automation, and traffic management. Jul 11, 2024 · To make it easy for others I have documented my complete tutorial here called ESP32CAM Object Detection I found that training the model by using the images taken from the ESP32 cam and clicking images in an isometric angle gave the best results. So I tried to search on internet regarding different techniques to do it. To be able to identify the The ESP32-S3 camera module is a cost-effective AI solution for your project, based on the high-performance ESP32-S3 chip. It is based on the ESP32-S3 SoC and ESP-WHO, Espressif’s AI development framework. 5 mm SPI Flash Default 32Mbit RAM 520KB SRAM +4M PSRAM Bluetooth Bluetooth 4. This project focuses on utilizing the board's Nov 26, 2019 · Learn to build a facial recognition system with the ESP32-CAM module with Arduino IDE! Learn how to recognize text from images using ESP32 CAM and the powerful Distill. Then, it takes approximately 5 s for the cloud to receive the image, perform recognition, and send the results back to the edge device. Jul 9, 2024 · Learn how to build an Image recognition project using ESP32-CAM and Edge Impulse. Thus, we will be detecting any specific colors during live video streaming. Key Features of ESP32-CAM module The ESP32-CAM consists of the ESP32 chip so it shares the same specifications as that of the generic ESP32 module. The ESP32-S3 AI Camera Module, with EdgeImpulse, YOLO, OpenCV, and ChatGPT, offers edge image recognition, night vision, and voice interaction. The ESP32-CAM board is much cheaper than a dedicated image processing board, such as the NVIDIA Jetson Nano. Exploring Machine Learning on the tiny device of the Seeed XIAO family, the ESP32S3 Sense and SenseCraft-Web-Toolkit By MJRoBot (Marcelo Rovai). Do you have an ESP32 camera? Want to do image recognition directly on your ESP32, without a PC? In this post, we'll look into a very basic image recognition task: distinguish apples from oranges with machine learning. Jan 16, 2022 · Learning Image Classification on embedding devices (ESP32-CAM). Contribute to espressif/esp-who development by creating an account on GitHub. It and includes in-built antenna switches, RF balun, power amplifier, low-noise receive amplifier, filters, and power Live Image Classification on ESP32-CAM and ST7735 TFT using MobileNet v1 from Edge Impulse (TinyML) This example is for running a micro neural network model on the 10-dollar Ai-Thinker ESP32-CAM board and show the image classification results on a small TFT LCD display. Jan 18, 2025 · Image2Text2Speech with ESP32-CAM is a Python-based IoT application that uses the ESP32-CAM to capture images, extract text using Optical Character Recognition (OCR), and convert the text to speech. The implementation of this project would lead to reduced expenses for developing an image recognition system. Oct 31, 2022 · The open-source TinyML-CAM pipeline can perform image recognition at over 80 FPS on the ESP32-CAM board while only using about 1KB of RAM. Power edge AI projects with the FireBeetle 2 ESP32-S3. js library for efficient optical character recognition (OCR). Convolutional neural networks really shines in this task and can achieve almost perfect accuracy on many Learn how to detect and identify objects in real-time using the ESP32 camera module, Python, OpenCV, and YOLO V3 algorithm. May 29, 2023 · Overview: ESP32 CAM Face Recognition System In this project, we will build an ESP32 CAM Based Face & Eyes Recognition System. It includes in-built antenna switches, RF balun, power amplifier, low-noise receive amplifier, filters, and power management You could write the image raw to a firebase database, trigger google functions to process the image for numbers. It’s one of the smallest AI-powered vision devices, making it portable and easy to integrate into various applications. OpenCV. This combination of local AI processing Mar 24, 2025 · The ESP32-S3 AI Camera is a smart AI-powered module with facial recognition, voice interaction, and night vision. Feb 2, 2025 · I’ll guide you through building a project where the ESP32-CAM captures images, operates as a web server, and sends the images to a computer for analysis. Besides the OV2640 camera and several GPIOs to connect peripherals, it also features a It can be used with advanced projects where facial recognition, image tracking, wireless monitoring, and identification are required. It offers various functions, including WiFi video live streaming, color recognition, face recognition, line following, and more. The purpose of this post is to help you develop and deploy your very own object detection model to your Esp32 camera with detailed, easy to follow steps, even if you're a beginner with Edge Impulse or Arduino programming. This project utilizes an ESP32-CAM module to capture images, perform Optical Character Recognition (OCR) using Tesseract, and display the live stream with extracted text. The ESP32 can capture the images, send them to a computer or a server running the YOLOv3 algorithm, and receive the object detection results back to take further actions. Aug 29, 2021 · The ESP-DL library provides APIs for Neural Network (NN) Inference, Image Processing, Math Operations, and Deep Learning Models that make full use of ESP32-S3’s AI instructions with a 16-bit face recognition model running 6. Silicon Technology provides a training framework for ModelAssistant, and the trained model can be adapted to Seeed XIAO ESP32 S3 Sense Community board This is a community board by Seeed Studios, and it’s not maintained by Edge Impulse. In this tutorial, you will learn how to make Face Recognition based Door Lock Control system using ESP32 Camera Module and a 12V electronic lock. This example includes two models, one for human face detection and another for human face feature extraction. Image Preprocessing: Enhance image clarity and reduce noise through preprocessing techniques. Collect images from the ESP32 camera This is the first part where things are weird in the other tutorials. These services provide powerful image recognition capabilities that you can access through their APIs. Plate Localization: Utilize image processing techniques like edge detection and contour analysis to locate the number plate region within the image. After Designing the impulse, click on save impulse to continue. Settingup a video streaming web server and perform face detection and recognition of the particular person. Jan 16, 2024 · I wanted to try to develop an image recognition system based on ESP32, which is not exactly meant for image processing and analysis. Hi! I would like to use the ESP32-CAM module for an art project. Apr 24, 2025 · The ESP32-P4-EYE devkit requires USB cables for data/power and debugging, an optional microSD card for image/video storage, and a computer running Windows, Linux, or macOS, so in some ways it’s also a webcam. The module features a wide-angle infrared camera for all-weather monitoring, ensuring clear images even in low-light conditions. The DRRobot 1154 ESP32-S3 AI Camera is a cutting-edge intelligent camera module built around the high-performance ESP32-S3 chip, designed for efficient video processing, edge AI, and voice interaction. (ArduinoIDE or PlatformIO) - alanesq/esp32cam-demo. Optical Character Recognition (OCR): Apply OCR Hello Guys#esp32cam #image_recognition #esp32cam_ai #esp32cam_image_recognitionI always wanted to try something new with esp32 cam , so i challenged myself w Dec 2, 2022 · The model latency is around 0. This DIY AI Camera project bridges AI and IoT, offering an insightful exploration of image processing capabilities. Aug 25, 2024 · ESP32 Cam Face Recognition, Description: ESP32 Cam Face Recognition Door Lock System – This is my third tutorial on the ESP32 Camera module. Face detection and recognition framework. Good performance even with relatively small image datasets. Aug 17, 2021 · ESP32-CAM: Specification, Pinout and User Guide ESP32-CAM Specs Module Model ESP32-CAM Package DIP-16 Size 27*40. Nov 23, 2024 · License Plate Recognition (LPR) using ESP32-CAM is a cost-effective and efficient solution for identifying vehicle license plates. Mar 6, 2025 · We will walk through the entire process—from capturing images using an ESP32 web server, training a model using Edge Impulse, deploying the model as an Arduino library, and running real-time object detection on the ESP32 module. Nov 14, 2025 · Learn how to set up and use the ESP32-CAM in this complete step-by-step tutorial. Jun 25, 2023 · Learn to use a free Edge Impulse account to train an ESP32-CAM to perform Object Detection. Prob the highest quality result. The ESP32-S3 AI CAM leverages the robust neural network capabilities of the ESP32-S3 chip for edge-based image recognition using platforms such as Edge Impulse. Suggestions for image recognition project Hello! I'm a high school student and I'm looking for a way I can make a program that detects our uniforms and creates a pop-up on the main computer. I'm currently using an ESP32 camera module and I have the web server up and running. Future Work In future, we will design a model for ESP32-S3 EYE devkit which could capture images in real time and performs hand gesture recognition. YOLO employs IOUs to create a pro-duction packet that excellently encloses round the particles. Jul 11, 2025 · Learn ESP32 CAM programming with our comprehensive tutorial. js for the ESP32 Camera Web Server environment. 11 b/g/n/ Support interface UART/SPI/I2C/PWM Support TF card Maximum support 4G IO port 9 UART Baudrate Default 115200 bps Image Output Format […] In this ESP32-CAM tutorial, we will use machine learning techniques to build an image classification project using ESP32 CAM. This will open a Preferences dialog box. This page caters to a diverse audience of hobbyists, makers, educators, and professionals, offering a window May 30, 2021 · In the this tutorials of the ESP32-CAM series, we saw that using the original code, we will be able to process face image from face recognition to face separation, but in cases where we need to recognize different objects, different models must be introduced to our code. Featuring a wide-angle infrared camera, onboard microphone, and speaker, it is ideally suited for applications such as electronic peepholes, baby monitors, and license plate recognition. Jul 26, 2022 · A live video tutorial on how to implement your own ESP32 camera image recognition that runs at 100 FPS and requires as little as 1 kb of RAM. But no matter how high the processing power of ESP chips, we Jun 27, 2025 · Text Recognition from Video Feed using ESP32-CAM Today, we will design a project where we will perform Text Recognition from Video Feed using ESP32-CAM, we will use the OpenCV Image Processing Library and write code in Python. Has anyone done any projects including image recognition on the esp32 and can point me to a few resources? I am a computer science student but have no experience with image recognition or the esp32, but I am experienced with general machine learning Feb 11, 2025 · Image recognition and processing: It integrates the ESP32-S3 chip, low-power dual-core 32-bit CPU, 240MHz main frequency, and computing power up to 600MIPS. If this is the first time you're reading my blog, you may have missed that I'm on a […] Nov 29, 2024 · A learning block is simply a neural network that is trained to learn on your data. Please see esp32-camera Github. Collaborating smoothly with platforms such as Edge Impulse, YOLOv5, and OpenCV, it performs complex on-device functions like object detection and image classification. Jan 28, 2025 · In this project, we walk you through the process of creating an image recognition system to identify objects. When a recognized face is detected, the system activates a relay to unlock a door or solenoid lock. Image recognition is a very hot topic these days in the AI/ML landscape. It supports efficient on-device processing for tasks such as object detection and image classification, while integration with ChatGPT enables voice-controlled command execution. See Human Face Detect Model Human Face Recognition Model Ever wanted to dabble in face and/or speech recognition? Espressif's ESP-S3-EYE is a miniature AI development board. This guide integrates hardware and software to recognize and process text efficiently. 4GHz. The ESP32-CAM will be used to capture an image which will then be identified using a trained Machine learning model. The computer will use YOLO to detect and classify objects. Silicon Technology provides a training framework for ModelAssistant, and the trained model can be adapted to Apr 12, 2025 · This article is a quick getting started guide for the ESP32-CAM board. pflo xukznwv fsabyg yrahwqp jqxe nebiqg dbfzs fzruop sixxic hobvl rtm fiwe uvb jfvsr ewasn