This paper presents a low-cost, low-power solution for real-time natural disaster or calamity location detection using the ESP32 CAM, a GPS module, and TinyML.

Hi, I'm Bill. I'm a software developer with a passion for making and electronics. I do a lot of things and here is where I document my learning in order to be able to inspire other people to make ...

Hi, I'm Bill. I'm a software developer with a passion for making and electronics. I do a lot of things and here is where I document my learning in order to be able to inspire other people to make ...

MasterSarvagya / Mask-Detection-Face-Recognition-Using-ESP32-Camera Code Issues Pull requests iot arduino machine-learning ai cpp esp32 face-recognition teachable-machine mask-detection esp-camera ...

Face Mask Detection System This project aims to detect whether individuals are wearing face masks using a combination of computer vision and machine learning techniques.

This paper addresses the increasing demand for presence detection across various industries while addressing concerns related to invasive technologies such as cameras and microphones. The focus is on ...

In the context of MSC detection, the mask-RCNN model is trained utilizing annotated skin lesion images. These images are annotated with both pixel-level mask annotations and bounding box annotations.

Using Depthwise Separable Convolutions with MobileNet data, we provide a method for mask detection-driven face picture classification that is both fast and accurate, as demonstrated in this work.