Gravity: AI Vision Posture and Gesture Sensor

1. Getting Started

Covers AI posture and gesture sensor SEN0670 getting started, from custom gesture recognition, custom posture recognition, fixed gesture mode to PC host software tutorial. Guides through hardware connection, CH343 driver, keypoints data and similarity threshold settings, linking to Docs → Tutorials → Projects → SKU → Category.

2. Example Code for Arduino - Custom Gesture Recognition

The tutorial demonstrates how Arduino can use AI pose and gesture sensor SEN0670 and ESP32 controller DFR0654 for custom gesture recognition. Covering I2C/UART wiring, library installation, and example code to confidently detect learning gestures and unknown gestures, and output keypoint coordinates

3. Example Code for Arduino - Custom Posture Recognition

Step‑by‑step guide to Arduino custom posture recognition with AI posture and gesture sensor SEN0670 and FireBeetle 2 ESP32‑E: hardware list, I2C/UART wiring, Arduino IDE setup, DFRobot_HumanPose library, and example code to classify learned vs unknown postures.

4. Example Code for Arduino - Fixed gesture recognition

Covers Arduino fixed gesture recognition using AI posture and gesture sensor SEN0670 with ESP32. Guides from hardware wiring (I2C/UART) → Arduino IDE + DFRobot_HumanPose library → set fixed gesture model → read gesture ID, name, confidence.

5. Example Code for Arduino - Detecting Gesture with ID=1

FireBeetle 2 ESP32-E enables gesture detection with the AI Vision Posture Sensor. Setup includes hardware, Arduino IDE, and library guide. Follow the I2C wiring and use provided sample code for detecting learned gestures and controlling the onboard LED.

6. Example Code for Arduino - Get Learned Gesture List

Step-by-step guide to wire the AI posture and gesture sensor SEN0670 to FireBeetle 2 ESP32-E, install DFRobot_HumanPose in Arduino IDE, and run example code to print the learned gesture list via I2C.

7. Example Code for Arduino - Sleep and Wake-up

This tutorial on Firebeetle 2 ESP32-E covers implementing timed sleep and wake-up using a gesture sensor. It includes hardware setup, Arduino IDE software installation, and step-by-step code execution for seamless project integration.

8. Example Code for Arduino - Setting the UART Baud Rate

Explain how to use Arduino UART baud rate example to configure AI posture and gesture sensor over ESP32 hardware serial, including UART wiring, IDE setup, and sample code.

9. Example Code for AT command

This article compiles AT command example codes and UART AT communication, covering AT+INVOKE inference calls, model switching AT+MODEL, TSCORE/TIOU/TSIMILARITY threshold configuration, and gesture/posture learning instructions.

Reference

Docs → Tutorials → Projects → Arduino vision sensor API、human pose detection、hand keypoints、gesture recognition guide

Specification

Power Parameters

Parameter	Specification
Supply Voltage	3.3V–5V
Logic Level	3.3V
Operating Current	Typical [email protected]
Sleep Current	Typical 37μ[email protected] (low-power mode required)
Wake-up Method	WAKEUP pin

Interface Parameters

Parameter	Specification
Communication	I2C / UART
Connector	PH2.0-4P / 2.54mm pin header
Debug/Config Port	USB Type-C receptacle
I2C Address	0x3A
UART Default Baud Rate	921600 bps

Recognition Parameters

Parameter	Specification
Hand Keypoints	21 keypoints
Human Skeleton Keypoints	17 keypoints
Fixed Gesture Types	13 fixed gestures
Custom Gesture Capacity	Up to 8, deletable and re-learnable
Custom Posture Capacity	Up to 8, deletable and re-learnable
Gesture Recognition Range	0.1–1m under adequate lighting (0.5m recommended)
Posture Recognition Range	2–4m under adequate lighting (2m recommended)
Gesture Recognition Frame Rate	~5 FPS
Skeleton Recognition Frame Rate	~10 FPS
Hand Recognition	Single-hand only; custom gestures limited to one hand at a time, even with multiple hands present
Posture Recognition	Multi-person supported; custom postures limited to one person at a time, even with multiple people present
Recognition Type	Static actions only; dynamic actions not supported
Camera Resolution	640 × 480 (VGA)
Camera Field of View (FOV)	89° diagonal (DFOV)
Camera Effective Focal Length (EFL)	3.01mm

Physical Dimensions

Parameter	Specification
PCB Size	37mm × 37mm
Mounting Hole Spacing	30mm
Mounting Hole Diameter	3.2mm

Pinout

SEN0670-Pinout

No.	Name	Function Description
①	VCC	Power Supply Positive (3.3~5.5V)
②	GND	Power Ground
③	C/R	I2C Clock Line SCL / UART Receive Pin RXD (3.3V Logic Level)
④	D/T	I2C Data Line SDA / UART Transmit Pin TXD (3.3V Logic Level)
⑤	WAKEUP	Pull high to wake up the sensor, pull low to enter low-power mode. Used to control the operating state on demand and reduce power consumption.
⑥	USB Type-C Interface	1. Connect to the configuration software to view the sensor's recognition image and recognition data. 2. Connect to the configuration software to set up custom learned gestures and poses.
⑦	I2C/UART Communication Mode Selection Switch	Factory default is I2C communication mode with slave address 0x3A. The sensor must be re-powered on after switching the communication mode.