Build a Raspberry Pi face detection project in Python using OpenCV and the CircuitDigest Cloud API. No dataset, no training - just flash and run. Step-by-step guide.
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Category: Raspberry Pi Tags:
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Parking Space Detection System Using ESP32-CAM
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Learn to build an ESP32-CAM Parking Space Detection System that detects parking availability in seconds using cloud API, Wi-Fi, and real-time image processing.
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ESP32-CAM Helmet Detection with Cloud AI | Full Guide
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Build a real-time ESP32-CAM Helmet Detection using CircuitDigest Cloud AI, no model training needed. Get WhatsApp alerts with the circuit diagram and full code.
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SMS Alert System with Seeed Studio XIAO ESP32 & HC-SR04 Sensor
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Build a WiFi-based SMS alert system using Seeed Studio XIAO ESP32 and HC-SR04 sensor. Send real-time notifications via free API—no GSM module needed. Complete tutorial with code.
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Build a Smart Traffic Management System Using IoT
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Learn how to create an ESP32-powered Smart traffic management system using IoT that uses IR sensors for real-time vehicle detection, enables adaptive signal control, and provides a live web dashboard for monitoring traffic flow.
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Low Power IoT Based Compact Soil Moisture Monitoring Device
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In this project, we will build a low-cost connected solution with a pre-designed Soil monitor using different components
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IoT Projects
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Internet of Things (IoT) is revolutionizing the electronics industry. With more and more applications adapting IoT, it is important for the engineers of today to get acquainted with this technology.
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Inventory Management System using IoT
https://iotdesignpro.com –
Here we make an IoT enabled inventory management system using an Ultrasonic Sensor, NodeMCU ESP8266, and ThingSpeak cloud platform. In this system Ultrasonic sensor is used to count the number of products stored in a rack, ThingSpeak is used for live monitoring of data, and IFTTT is used to send a mail whenever the products count goes below the user-defined criteria.
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Smart Agriculture System with IoT
https://www.hackster.io –
Way of Irrigating the land with the use of IoT solution and it notify landowner when the percentage of moisture levels decreases below 30%.
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