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Ai-Thinker RD-01 24G Radar Human Body Induction Module/Radar + WiFi + BLE Module — image 1
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Ai-Thinker

Ai-Thinker RD-01 24G Radar Human Body Induction Module/Radar + WiFi + BLE Module

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Ai-Thinker Dev. Boards & Modules for everyday users

The Ai-Thinker RD-01 24G Radar Human Body Induction Module/Radar + WiFi + BLE Module by Ai-Thinker is a value-for-money ai-thinker dev. boards & modules designed for everyday users. It features Item Type: Radar Module and Chip: BL602+S3KM1110L.

₹949
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Total: ₹949
Buying tip: A well-rounded choice at a fair price. Recommended for most buyers.
Estimated delivery: 24 Aug7 Sept
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Quick Specs

Item Type: Radar Module
Chip: BL602+S3KM1110L
Frequency: Radar: 24G ~24.25GHz
Operating Temperature (°C): -40℃ ~ 85℃
Interface: UART/GPIO/ADC/PWM/I2C/SP
Power Supply Voltage (V): 3.0V ~ 3.6V

Ideal For

Electronics projectsArduino / Raspberry Pi buildsPrototyping
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SKU: robu-1768852Category: Ai-Thinker Dev. Boards & Modules

About This Product

The Ai-Thinker RD-01 24G Radar Human Body Induction Module/Radar + WiFi + BLE Module by Ai-Thinker is a value-for-money ai-thinker dev. boards & modules designed for everyday users. It delivers reliable performance at an accessible price.

Key Specifications

  • Item Type: Radar Module
  • Chip: BL602+S3KM1110L
  • Frequency: Radar: 24G ~24.25GHz — smooth, flicker-free operation
  • Operating Temperature (°C): -40℃ ~ 85℃
  • Interface: UART/GPIO/ADC/PWM/I2C/SP — compatible with modern devices
  • Power Supply Voltage (V): 3.0V ~ 3.6V — works with standard household power
  • Length (mm): 36mm
  • Width (mm): 19mm

Why Buy from Elecvora?

Elecvora sources this product directly, cutting out multiple middlemen. Every order includes free shipping, a 15-day return policy, and secure payment via Razorpay.

Rd-01 is a radar module developed by Shenzhen Anxinke Technology Co., LTD. The module supports Wi-Fi & BLE. The radar part is equipped with the S3KM111L chip of Sidian Micro. S3KM111L is an integrated monolithic single-wave sensor SoC based on FMCW radar technology. Operates in 24GHzkband with up to 1 GHz modulation bandwidth per frequency. FMCW continuous wave is used to detect the target in the set space. Combined with radar signal processing and an accurate human body sensing algorithm, high-sensitivity human presence state sensing can be realized to recognize the human body in motion and static state. Wi-Fi &BLE is equipped with a BL602 chip as the core processor and supports Wi-Fi 802.11b/g/n and BLE 5.0. The BL602 chip has a built-in low-power 32-bit RISCCPU, 276KB of RAM, and a wealth of peripheral interfaces, including SPI, UART, I2C, PWM, ADC and GPIO. Rd-01module can sense whether there is a moving or twitching human body in the area, and transmit the detection result in real-time through Wi-Fi &BLE. Provide visual configuration tools, it can be easily configured with induction distance range, induction sensitivity of different sections, and unmanned delay time. It also supports Wi-Fi & BLE wireless configuration of radar parameters, greatly improving the efficiency of construction operation and maintenance, convenient and fast.

Features:

  1. SMD-12 package, compatible with standard socket or pin interface
  2. Radar support 24 GHz ISM frequency band
  3. The radar's max sensing range is up to 5 meters
  4. It can realize the intelligent parameter adjustment of radar through Bluetooth, convenient and fast
  5. Support roof, hang a wall to install a variety of ways
  6. Wi-Fi security support WPS/WEP/WPA/WPA2 Personal/WPA2 Enterprise/WPA3
  7. Support 20 MHZ bandwidth, the highest rate of 72.2 Mbps
  8. Supports IEEE 802.11 b/g/n agreement
  9. Antenna: Radar: on-board antenna Wi-Fi &BLE:IPEX

Package Includes:

1 x Ai Thinker RD-01

Setup Guide

1
Identify the pins
Locate VCC (power), GND (ground), and data pins (SDA/SCL for I2C, MOSI/MISO for SPI, or TX/RX for UART). Refer to the pinout diagram on the product page.
2
Wire to your microcontroller
Connect VCC to 3.3V or 5V (check the module spec), GND to GND, and data pins to the appropriate GPIO pins on your Arduino or Raspberry Pi.
3
Install libraries
In Arduino IDE, go to Sketch → Include Library → Manage Libraries and search for the sensor library. Install the recommended version.
4
Upload example sketch
Open File → Examples → [library name] → Basic Example. Upload to your board and open Serial Monitor to view output.
5
Calibrate if needed
Some sensors (temperature, humidity, distance) may need a short warm-up period or calibration. Run the calibration sketch if provided.