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CQRobot PAJ7620U2 Gesture Recognition Sensor Recognises up to 9 Gestures
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CQRobot PAJ7620U2 Gesture Recognition Sensor Recognises up to 9 Gestures
Directly recognises 9 basic gestures, supports gesture interrupt output and has stronger anti-interference for low-power applications such as smart home and robot interaction.
CQRobot PAJ7620U2 Gesture Recognition Sensor Recognises up to 9 Gestures
Item #: 19447152

CQRobot PAJ7620U2 Gesture Recognition Sensor Recognises up to 9 Gestures

87% of respondents would recommend this to a friend

Item #: 19447152

UGX 115201

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Directly recognises 9 basic gestures, supports gesture interrupt output and has stronger anti-interference for low-power applications such as smart home and robot interaction.
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What Stands Out

Gesture Recognition
With the ability to identify nine basic actions, this sensor enhances user interaction, making projects more intuitive and responsive, especially for robotics and home automation applications.
I2C Interface
The I2C interface allows easy integration with Raspberry Pi, Arduino, and STM32 boards, ensuring versatile compatibility and simplifying connections for developers and hobbyists alike.
Interrupt Output
Support for interrupt output enables real-time responses to gestures, reducing processing overhead and enhancing efficiency in applications that require quick reaction times.

Product Details

Shop for CQRobot Ocean: 3D Gesture Sensor at Ubuy Uganda, compatible with Raspberry Pi, Arduino, and STM32 Motherboard. Recognize up to 9 gestures for smart home and robot interaction.
Power SourceCorded Electric
Maximum Range15 centimeters
Mounting TypeWall Mount
Battery Descriptionbattery not included
Compatible DevicesRaspberry Pi, Arduino, STM32
Frequency240 hertz
Item Weight0.02 kg
ColorPAJ7620U2
BrandCQRobot
ManufacturerCQRobot
Number of Items1
Unit Count1 Count
Item HighlightCompatible with Arduino & Raspberry Pi & STM32 Motherboard I2C Interface Infrared LED and Optical Lens
Model NumberCQRPAJ7620U2
Mfr Part NumberCQRPAJ7620U2

Who Should Buy?

Suitable For
  • Robotics Enthusiasts

    Ideal for hobbyists building interactive robots that respond to hand gestures for enhanced user experience.

  • Educational Projects

    Perfect for students learning about gesture recognition and sensor integration in programming courses.

  • Prototyping Developers

    A great choice for developers creating prototypes that require easy gesture control and quick testing.

Not Suitable For
  • Casual Users

    Not suitable for those who require simple and straightforward devices without advanced gesture functionality.

Product Description

CQRobot PAJ7620U2 Gesture Recognition Sensor Recognises up to 9 Gestures

Have any Query? Chat with us

Customer Questions & Answers

  • Question: What is the CQRobot Ocean: 3D Gesture Sensor with PAJ7620U2 Chip?

    Answer: The CQRobot Ocean: 3D Gesture Sensor is an advanced input device that utilizes the PAJ7620U2 chip to detect hand gestures in three dimensions. This sensor allows users to interface with devices like Raspberry Pi, Arduino, and STM32 platforms through simple gesture commands, making it ideal for innovative projects. With its ability to recognize various gestures, this sensor opens up opportunities for interactive installations, robotics, and smart home applications.
  • Question: How does the PAJ7620U2 chip enhance the sensor’s capabilities?

    Answer: The PAJ7620U2 chip is a high-performance gesture recognition processor that enables the CQRobot Ocean sensor to accurately detect hand movements with minimal latency. By processing gestures at a fast rate, it provides real-time interaction, allowing users to control devices seamlessly. This feature is particularly beneficial for applications in robotics, where precise and instant responses are crucial for user experience.
  • Question: What platforms is this gesture sensor compatible with?

    Answer: The CQRobot Ocean: 3D Gesture Sensor is designed to work seamlessly with platforms like Raspberry Pi, Arduino, and STM32. This compatibility ensures that a broad range of developers can utilize the sensor in their projects, whether it's for educational purposes or advanced prototyping. By supporting multiple platforms, this sensor provides flexibility and ease of integration into various systems, encouraging experimentation and innovation.
  • Question: What are some practical applications of the gesture sensor?

    Answer: The CQRobot Ocean gesture sensor can be used in various applications, such as creating gesture-controlled drones, smart home devices, or interactive gaming systems. For instance, in robotics, you can program the sensor to interpret hand signals as commands for direct control, enhancing user interaction. Additionally, in smart home applications, it can allow users to manage devices like lights or speakers through simple hand movements, promoting a more intuitive environment.
  • Question: What gestures can the CQRobot Ocean sensor recognize?

    Answer: The CQRobot Ocean sensor is capable of recognizing several gestures, including swipe left, swipe right, wave, and other dynamic movements. This versatility enables a range of applications, from simple user interfaces to complex robotic commands. The extensive gesture set allows developers to create unique interaction methods for games, home automation, and educational projects, fostering a more engaging user experience.
  • Question: Is the sensor difficult to set up for beginners?

    Answer: While setup complexity can vary based on your project, the CQRobot Ocean sensor comes with comprehensive documentation and example codes, making it user-friendly for beginners. The availability of libraries for popular platforms like Raspberry Pi and Arduino streamlines the integration process. As you gain familiarity, you'll find it easier to experiment and implement custom functionalities, making it an excellent learning tool.
  • Question: Can I use this sensor in a robotic project?

    Answer: Absolutely! The CQRobot Ocean sensor is particularly well-suited for robotic projects where gesture control can enhance user interaction. For example, you can use it to allow users to control a robot's movements or actions with simple hand gestures. This capability offers an innovative way to interface with robots, making them more interactive and accessible for users of all ages.
  • Question: What kind of programming languages are required for using this sensor?

    Answer: The CQRobot Ocean: 3D Gesture Sensor can typically be programmed using popular languages associated with its compatible platforms, such as Python for Raspberry Pi or C/C++ for Arduino. These languages are widely used in maker communities, making it easier to find resources and examples. Leveraging these languages allows for creating custom programs that can harness the sensor’s capabilities effectively.
  • Question: How does this sensor compare to other gesture recognition options?

    Answer: The CQRobot Ocean sensor stands out due to its robust PAJ7620U2 chip, which offers faster and more accurate gesture recognition compared to many other options on the market. Its ease of integration with various platforms further enhances its appeal, especially among hobbyists and educators. When compared to alternatives, it provides a well-balanced solution that combines performance, versatility, and user-friendliness.
  • Question: Where can I buy CQRobot Ocean: 3D Gesture Sensor with PAJ7620U2 Chip for Raspberry Pi Arduino STM32?

    Answer: You can purchase the CQRobot Ocean: 3D Gesture Sensor on Ubuy. This platform offers a convenient way to find and acquire the sensor within Uganda. Ubuy often provides various options and related electronic components that can complement your projects, ensuring you have everything you need for a seamless building experience.

CQRobot Single Board Computers CQRPAJ7620U2 Editorial Review

CQRobot PAJ7620U2 Gesture Recognition Sensor Recognises up to 9 Gestures. This sensor impressively recognizes gestures like up, down, left, right, and more with reliable performance, making it a top choice for hobbyists and developers alike. Users appreciate its simple programming interface that allows for quick setup and basic functionality. Many have successfully integrated it with platforms like Raspberry Pi and Arduino, citing easy installation and good documentation as major advantages. Although some users noted the need for detailed setup instructions and occasional lower recognition rates for specific gestures, the overall feedback highlights its efficiency and design, especially for those looking for a compact and effective gesture sensor.

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Pros

  • Once running, this sensor works great with default settings
  • Simple programming interface for gesture recognition
  • Highly configurable for advanced users
  • Inexpensive compared to similar devices
  • Quick setup with Raspberry Pi and Arduino

Cons

  • Documentation could be clearer for beginners

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“Great products and very good service: very easy and very fast international delivery.”

9 September 2026 · via Trustpilot
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“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”

10 September 2026 · via Trustpilot
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“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”

10 September 2026 · via Trustpilot
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“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”

11 September 2026 · via Trustpilot
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“Easy to find and order what you want on the website. Delivery is quick to the UK”

8 September 2026 · via Trustpilot
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UGX 115201

Order now and get it around Saturday, October 03

QTY:

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Features & Benefits

  • Directly recognises 9 basic gestures
  • Supports gesture interrupt output
  • Stronger anti-interference for low-power applications
  • Faster recognition speed
  • Higher accuracy
  • Suitable for smart home and robot interaction

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