Reference: RBD-0222
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The Person Sensor V1.1 by Useful Sensors adds advanced computer vision capabilities to your project with zero coding required. Pre-programmed to detect nearby faces, it provides data such as the number of people, their relative positions, and even facial recognition through a simple Qwiic I2C interface. Designed for low power consumption (~150mW), this compact module integrates both an image sensor and a microcontroller, delivering real-time face detection without burdening your system. Privacy is prioritized, as no raw image data is accessible—only metadata is provided. With easy SparkFun Qwiic connectivity and support for I2C bus speeds up to 400k baud, the Person Sensor is a versatile tool for building interactive, personalized, and smarter devices. Featured By RoboticsBD.
Product Images are shown for illustrative purposes only and may differ from the actual product.
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Plug-and-Play AI Vision – Pre-programmed with face detection and recognition algorithms, no coding required.
Compact & Efficient – Low power consumption of just ~150mW, making it suitable for embedded and battery-powered devices.
Qwiic I2C Interface – Simple and reliable integration with SparkFun’s Qwiic ecosystem for prototyping and projects.
Face Detection & Recognition – Identifies number of people, face positions, and supports personalized user interaction.
Privacy-Centric Design – No raw image data access; only safe metadata is available from each scan.
Interrupt Pin – TP1 pin signals when a person has been detected for real-time responses.
Wide Field of View – 110° image sensor ensures reliable detection even in dynamic environments.
Note: The sensor uses an image sensor internally, so you need to make sure that the lens has a clear field of view, and that it’s mounted the right way up. You should be able to see the side of the board that has the sensor by spotting the small lens in the center. You’ll know you have it the right way up when the silkscreen writing “Useful Sensors Person Sensor V1.1” is at the correct orientation.
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Smart Home Devices – Enable presence-based automation such as lighting, alarms, or microphone muting.
Robotics Projects – Allow robots to track, follow, and interact with human users.
Personalized Systems – Recognize individuals for tailored user experiences.
IoT & Wearables – Integrate face detection into connected devices for smarter control.
Educational Tools – Great for learning computer vision concepts without complex coding.
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| General Specifications | |
| Operating Voltage | 3.3V |
| Power Consumption | ~150mW (5mW LED) |
| Interface | Qwiic I2C, up to 400k baud |
| Field of View | 110° Image Sensor |
| Image Scan Rate | 7Hz (no recognition), 5Hz (with recognition) |
| Interrupt Pin | TP1 for detection indication |
| Privacy | No raw image access; metadata only |
| Firmware | Pre-programmed, no updates supported |
| Module Dimensions | Compact PCB with integrated microcontroller |
| Shipment Weight | 0.0038 kg |
| Shipment Dimensions | 3 × 2 × 2 cm |
Please allow 5% measuring deviation due to manual measurement.
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1 x Person Sensor by Useful Sensors
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Reference: RBD-0222
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