Example for publishing images from an ESP32-CAM to AWS IoT over MQTT

Sample code for using ESP32-CAM with AWS IoT Core to take pictures on-demand and store them in S3

BME680 - ESP32 - ESP8266 - ESP32 CAM MQTT - EXTERNAL INTERRUPT - FIREBASE - AWS

ESP32-CAM with OV2640 Camera , using wifi to connect to AWS.

Smart Cloud-Based AI Traffic Management System using ESP32-CAM & AWS Rekognition

Test to connect AWS with esp32-CAM

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Process photos from ESP32-CAM through AWS IoT Core for remote camera

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ESP32cam streaming through AWS IoT Core.

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Software architecture for image classification and storage with AWS and ESP32-CAM.

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Academic IoT project demonstrating automated attendance using ESP32-CAM, AWS IoT, Lambda, and face recognition.

IoT Smart Parking System using ESP32-CAM and AWS Serverless (Lambda, Rekognition, DynamoDB) for automated license plate detection and gate control.

A three-tier cloud for data transfer from far-edge, to edge, to cloud, using stored images in an ESP32-CAM, to face identification on an ESP32-S3 dev, to cloud (e.g., AWS S3) and result back to the ESP32-CAM via esp32s3. Log all stats and round trip times.

Example inspired on https://devopstar.com/2020/05/16/aws-iot-esp32-cam-setup to send a photo when a message is received in an IoT topic

A basic Proof of Concept for an efficient Intrusion Detection System using Teensy, PIR Sensor, ESP32 + CAM sensor modules along with Raspberry Pi deployed over the Edge tier. Data is fed through MQTT to AWS on cloud tier where users can access the live camera feed and subscribe to movement events detected through PIR sensors.