C4001 mmWave Sensor 'Ghost Mode'👻: See Through Fabric, Wood, Glass, Walls? (Arduino/ESP32)
Download Project Source codes and other data: Patreon "Early Access"
https://www.patreon.com/posts/c4001-mmwave-126274495Read the Article:
https://www.electroniclinic.com/c4001-mmwave-human-detection-sensor-with-arduino-and-esp32/Related Videos:
C4001 mmWave Radar Module 25 meter:
https://youtu.be/5mammWMv7zgESP32 + RD-03D mmWave Radar | Real-Time Human Tracking with Distance, Angle & Speed | Wireless Radar
https://youtu.be/ZSrtbVVP9iAESP32 + C1001 mmWave Sensor
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https://youtu.be/dfbk7WdBqvUSee-through with C1001 mmWave Sensor
https://youtu.be/Xe2iQmGaYisHMMD mmWave Sensor:
https://youtu.be/I508XQrjvDYDFrobot's C4001 mmWave Sensor Official Page:
https://www.dfrobot.com/product-2795.htmlProject Description:
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1: Introduction & Core Sensor
Dive deep into the DFRobot C4001 mmWave Human Presence Sensor in this comprehensive tutorial and review! We explore its exciting potential, dubbing its penetration capability 'Ghost Mode'. Powered by 24GHz FMCW radar technology, this sensor promises advanced human detection far beyond typical PIR capabilities. We'll demonstrate setup and use with popular platforms like Arduino and ESP32, utilizing its flexible I2C communication interface (UART also available) for easy integration into your DIY electronics projects. Discover the core specs, including its impressive range for presence and motion detection.
2: Rigorous Testing & Penetration Analysis
Can the C4001 mmWave sensor truly detect through walls, fabric, wood, and glass? We put it to the ultimate test! Watch detailed demonstrations showing its ability to see through cardboard boxes, hardboard, glass, plastic casings, and even thick curtains (fabric). We specifically address a common concern: is the sensor unaffected by fan airflow? See the results of our direct ceiling fan test. While it excels through many materials, we also reveal the results of the final wall penetration test, providing an honest look at its capabilities and limitations compared to other mmWave sensors and PIRs.
3: Practical Arduino & ESP32 Examples
Learn how to use the C4001 mmWave sensor with practical code examples for both Arduino (Nano) and ESP32. We cover wiring for the Gravity connector, library installation, and walk through four key applications: monitoring target speed detection and distance measurement, using filters to stabilize readings and reduce potential false triggers, implementing home automation logic to control a relay (presence detection light control) or buzzer, showcasing its use as a security trigger. Understand how to adjust parameters like detection range and sensitivity thresholds.
4: Advanced Integration & Conclusion
Take your project further by integrating the C4001 mmWave sensor with Blynk using an ESP32 for remote monitoring and control from anywhere! See how easily you can visualize sensor data like target range on your smartphone, creating a powerful, connected human presence detection system or security system. We discuss the advantages of its active detection method and resistance to environmental factors. By the end of this video, you'll have a clear understanding of the C4001's performance, potential applications (from smart homes ), and whether it's the right advanced presence sensor for your needs.
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Product Links:
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C4001 mmWave Sensor
https://amzn.to/423sq2uESP32 WiFi + Bluetooth module
https://amzn.to/3RN9HC5Arduino Nano
https://amzn.to/4juEZd3DISCLAIMER: This video and description contain affiliate links, which means that if you click on one of the product links, I will receive a small commission. This helps support the channel and allows me to continue to make videos like this. Thank you for your support!
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