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Pixy 2.1 Smart Vision Sensor-Object Tracking Camera
The Pixy 2.1 is an advanced smart vision sensor that combines embedded computer vision with real-time object tracking capabilities, enabling autonomous systems to identify, locate, and follow colored objects or visual signatures without requiring a host computer. Professional roboticists, embedded systems engineers, and automation specialists rely on this sensor to implement sophisticated vision-based control systems in competitive robotics, industrial automation, and autonomous vehicle applications. It solves the critical challenge of real-time visual perception in resource-constrained environments by processing image data directly on the sensor's dedicated processor, eliminating latency and reducing computational overhead on primary microcontrollers.
Product Overview
The Pixy 2.1 Smart Vision Sensor operates on a proprietary vision processing architecture with a dedicated ARM Cortex M7 processor running at 204 MHz, capable of executing complex image recognition algorithms at 60 frames per second. The sensor features a 320x200 pixel resolution CMOS imager with a 75-degree horizontal field of view, optimized for detecting objects at distances ranging from 20 centimeters to several meters. The device implements signature-based color detection combined with advanced blob analysis, allowing it to track up to 8 distinct colored objects simultaneously while computing their position, size, and motion vectors in real-time. Communication occurs through USB 2.0 or UART/SPI interfaces, providing flexible integration with Arduino, Raspberry Pi, STM32, and other microcontroller platforms.
What distinguishes the Pixy 2.1 from earlier iterations is its enhanced processing capability, improved lens quality for better edge definition, and refined color signature algorithm that reduces false positives in complex lighting conditions. The sensor includes integrated LED illumination for consistent performance in varying ambient light, and its compact form factor (approximately 43x27x28mm) allows seamless integration into space-constrained robotic platforms. The device operates at 5V with typical current draw of 140mA during active tracking, making it compatible with standard embedded system power supplies. Pixy 2.1 ships with the PixyMon graphical interface software for Windows, Mac, and Linux, enabling intuitive color signature training and real-time performance monitoring without requiring programming expertise.
Key Specifications
| Specification | Details |
| Product Type | Smart Vision Sensor with Object Tracking |
| Brand | Charmed Labs |
| Origin | Original/Authentic |
| Warranty | 7 days on manufacturing defects |
| Shipping | 1-5 days from Bengaluru |
| Delivery | 7-8 days across India |
| Support | 24/7 via Email and WhatsApp |
| Image Sensor | 320x200 pixel CMOS imager, 75-degree horizontal FOV |
| Processor | ARM Cortex M7 at 204 MHz with dedicated vision processing |
| Frame Rate | 60 FPS for real-time object detection and tracking |
| Simultaneous Object Tracking | Up to 8 distinct colored objects |
| Communication Interfaces | USB 2.0, UART, SPI |
| Operating Voltage | 5V DC with typical current draw of 140mA |
| Effective Range | 20cm to several meters depending on object size and lighting |
| Dimensions | 43mm x 27mm x 28mm (compact form factor) |
Key Features
- Real-Time Color Signature Detection: Proprietary algorithm learns and tracks up to 8 distinct colored objects simultaneously with sub-pixel accuracy, enabling precision object following in dynamic environments
- Dedicated Vision Processor: ARM Cortex M7 at 204 MHz processes image data directly on the sensor, delivering 60 FPS tracking without burdening host microcontroller resources
- Integrated LED Illumination: Built-in infrared and visible light LEDs ensure consistent performance across varying ambient light conditions, from bright outdoor settings to dimly lit indoor spaces
- Multi-Interface Connectivity: USB 2.0, UART, and SPI interfaces provide flexible integration with Arduino, Raspberry Pi, STM32, and custom embedded platforms
- Compact Modular Design: 43x27x28mm footprint with mounting bracket compatibility allows seamless integration into space-constrained robotic chassis and autonomous systems
- PixyMon Configuration Software: Cross-platform graphical interface for intuitive color signature training, real-time performance monitoring, and parameter tuning without programming
Applications and Use Cases
- Competitive Robotics: VEX Robotics and FIRST Robotics teams utilize Pixy 2.1 for autonomous object collection, sorting, and ball tracking tasks, achieving sub-centimeter positioning accuracy during high-speed autonomous periods
- Line Following and Navigation: Embedded systems engineers implement Pixy 2.1 in autonomous vehicles and mobile robots for lane detection and visual waypoint navigation, leveraging its 60 FPS output to maintain stable trajectory control
- Industrial Quality Control: Manufacturing automation systems use the sensor for color-based product sorting, defect detection, and bin picking applications where real-time visual feedback is critical for throughput optimization
- Drone and Aerial Platform Control: Unmanned aerial vehicles employ Pixy 2.1 for visual servoing, target tracking, and autonomous following, with the sensor's lightweight design and low power consumption ideal for battery-constrained platforms
- Educational Robotics: University-level embedded systems and computer vision courses utilize Pixy 2.1 as a teaching platform for real-time image processing, control systems integration, and autonomous decision-making algorithms
How to Use
Begin by connecting the Pixy 2.1 to your host platform via USB, UART, or SPI depending on your system architecture. Launch the PixyMon software on your computer and establish communication with the sensor through the graphical interface. Train color signatures by capturing sample images of objects you wish to track, allowing the sensor's algorithm to learn the color distribution and spatial characteristics. The software displays real-time blob detection results showing object position (X, Y coordinates), size, and motion vectors at 60 FPS, enabling you to verify tracking accuracy before deploying in your application.
Once color signatures are trained and saved to the sensor's onboard memory, integrate the Pixy 2.1 with your microcontroller using the appropriate communication protocol. For Arduino platforms, leverage the Pixy2 Arduino library which provides simple functions to retrieve tracked object data including coordinates, width, height, and signature ID. Implement control algorithms in your microcontroller firmware to respond to tracked object positions, such as adjusting motor speeds for autonomous following or triggering mechanical actuators for object manipulation. Monitor performance through serial debugging output and adjust color signature sensitivity parameters in PixyMon if the sensor experiences false positives or missed detections in your specific lighting environment.
Frequently Asked Questions
What is the maximum number of objects Pixy 2.1 can track simultaneously?
Pixy 2.1 can track up to 8 distinct colored objects simultaneously at 60 frames per second. Each tracked object provides position coordinates (X, Y), width, height, and signature ID. If your application requires tracking more objects, you can implement multiple Pixy 2.1 sensors with different communication channels or use sequential signature switching techniques.
How does Pixy 2.1 perform in low-light or outdoor conditions?
The Pixy 2.1 includes integrated LED illumination (both infrared and visible light) that activates automatically to maintain consistent color detection across varying ambient light conditions. In outdoor bright sunlight, the sensor performs well with natural illumination. In dimly lit indoor environments, the built-in LEDs ensure adequate lighting for reliable color signature detection. For extremely dark conditions, external infrared illumination can be added to extend effective range.
What microcontrollers and platforms are compatible with Pixy 2.1?
Pixy 2.1 is compatible with Arduino boards (Uno, Mega, Due), Raspberry Pi, STM32 microcontrollers, and any platform supporting USB, UART, or SPI communication protocols. Official Arduino libraries are available, and community-contributed libraries exist for Python, C++, and other languages. The sensor communicates via standardized protocols, making integration straightforward across diverse embedded platforms.
Can Pixy 2.1 detect objects based on shape or pattern rather than just color?
Pixy 2.1 primarily uses color-based signature detection as its core tracking mechanism. However, it can detect objects with distinct color patterns or color combinations by training multiple color signatures. For shape-based detection or barcode recognition, you would need to implement additional image processing algorithms on the host microcontroller or use alternative vision sensors like Pixy 2 with Lego integration or OpenMV boards.
When will I receive my order?
Orders are dispatched within 1-5 business days from our Bengaluru warehouse. Delivery takes 7-8 days to most locations across India.
What is your return and warranty policy?
We offer a 7-day return policy on manufacturing defects only. Contact support within 7 days of receipt for free replacement or full refund. Not applicable for user damage or misuse.
Are bulk discounts available?
Yes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.
Why Buy from The Engineer Store
- Genuine Products: Sourced directly from authorized distributors with authentication
- Expert Team: Our technical team validates every product before listing
- Fast Shipping: Dispatched within 1-5 days from our Bengaluru warehouse
- Pan-India Delivery: 7-8 days to Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata
- Payment Options: COD, UPI, credit/debit cards, net banking, EMI available
- Technical Support: 24/7 expert guidance via email and WhatsApp
- Returns: 7-day return policy on manufacturing defects only
Buy Pixy 2.1 Smart Vision Sensor-Object Tracking Camera Online in India
Purchase the Pixy 2.1 Smart Vision Sensor-Object Tracking Camera online at The Engineer Store, India's trusted source for genuine electronics. We deliver across Bengaluru, Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata, Ahmedabad, Jaipur, and Surat. Get the best price on Pixy 2.1 Smart Vision Sensor-Object Tracking Camera with fast shipping and expert support.
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Pixy 2.1 Smart Vision Sensor-Object Tracking Camera
The Pixy 2.1 is an advanced smart vision sensor that combines embedded computer vision with real-time object tracking capabilities, enabling autonomous systems to identify, locate, and follow colored objects or visual signatures without requiring a host computer. Professional roboticists, embedded systems engineers, and automation specialists rely on this sensor to implement sophisticated vision-based control systems in competitive robotics, industrial automation, and autonomous vehicle applications. It solves the critical challenge of real-time visual perception in resource-constrained environments by processing image data directly on the sensor's dedicated processor, eliminating latency and reducing computational overhead on primary microcontrollers.
Product Overview
The Pixy 2.1 Smart Vision Sensor operates on a proprietary vision processing architecture with a dedicated ARM Cortex M7 processor running at 204 MHz, capable of executing complex image recognition algorithms at 60 frames per second. The sensor features a 320x200 pixel resolution CMOS imager with a 75-degree horizontal field of view, optimized for detecting objects at distances ranging from 20 centimeters to several meters. The device implements signature-based color detection combined with advanced blob analysis, allowing it to track up to 8 distinct colored objects simultaneously while computing their position, size, and motion vectors in real-time. Communication occurs through USB 2.0 or UART/SPI interfaces, providing flexible integration with Arduino, Raspberry Pi, STM32, and other microcontroller platforms.
What distinguishes the Pixy 2.1 from earlier iterations is its enhanced processing capability, improved lens quality for better edge definition, and refined color signature algorithm that reduces false positives in complex lighting conditions. The sensor includes integrated LED illumination for consistent performance in varying ambient light, and its compact form factor (approximately 43x27x28mm) allows seamless integration into space-constrained robotic platforms. The device operates at 5V with typical current draw of 140mA during active tracking, making it compatible with standard embedded system power supplies. Pixy 2.1 ships with the PixyMon graphical interface software for Windows, Mac, and Linux, enabling intuitive color signature training and real-time performance monitoring without requiring programming expertise.
Key Specifications
| Specification | Details |
| Product Type | Smart Vision Sensor with Object Tracking |
| Brand | Charmed Labs |
| Origin | Original/Authentic |
| Warranty | 7 days on manufacturing defects |
| Shipping | 1-5 days from Bengaluru |
| Delivery | 7-8 days across India |
| Support | 24/7 via Email and WhatsApp |
| Image Sensor | 320x200 pixel CMOS imager, 75-degree horizontal FOV |
| Processor | ARM Cortex M7 at 204 MHz with dedicated vision processing |
| Frame Rate | 60 FPS for real-time object detection and tracking |
| Simultaneous Object Tracking | Up to 8 distinct colored objects |
| Communication Interfaces | USB 2.0, UART, SPI |
| Operating Voltage | 5V DC with typical current draw of 140mA |
| Effective Range | 20cm to several meters depending on object size and lighting |
| Dimensions | 43mm x 27mm x 28mm (compact form factor) |
Key Features
- Real-Time Color Signature Detection: Proprietary algorithm learns and tracks up to 8 distinct colored objects simultaneously with sub-pixel accuracy, enabling precision object following in dynamic environments
- Dedicated Vision Processor: ARM Cortex M7 at 204 MHz processes image data directly on the sensor, delivering 60 FPS tracking without burdening host microcontroller resources
- Integrated LED Illumination: Built-in infrared and visible light LEDs ensure consistent performance across varying ambient light conditions, from bright outdoor settings to dimly lit indoor spaces
- Multi-Interface Connectivity: USB 2.0, UART, and SPI interfaces provide flexible integration with Arduino, Raspberry Pi, STM32, and custom embedded platforms
- Compact Modular Design: 43x27x28mm footprint with mounting bracket compatibility allows seamless integration into space-constrained robotic chassis and autonomous systems
- PixyMon Configuration Software: Cross-platform graphical interface for intuitive color signature training, real-time performance monitoring, and parameter tuning without programming
Applications and Use Cases
- Competitive Robotics: VEX Robotics and FIRST Robotics teams utilize Pixy 2.1 for autonomous object collection, sorting, and ball tracking tasks, achieving sub-centimeter positioning accuracy during high-speed autonomous periods
- Line Following and Navigation: Embedded systems engineers implement Pixy 2.1 in autonomous vehicles and mobile robots for lane detection and visual waypoint navigation, leveraging its 60 FPS output to maintain stable trajectory control
- Industrial Quality Control: Manufacturing automation systems use the sensor for color-based product sorting, defect detection, and bin picking applications where real-time visual feedback is critical for throughput optimization
- Drone and Aerial Platform Control: Unmanned aerial vehicles employ Pixy 2.1 for visual servoing, target tracking, and autonomous following, with the sensor's lightweight design and low power consumption ideal for battery-constrained platforms
- Educational Robotics: University-level embedded systems and computer vision courses utilize Pixy 2.1 as a teaching platform for real-time image processing, control systems integration, and autonomous decision-making algorithms
How to Use
Begin by connecting the Pixy 2.1 to your host platform via USB, UART, or SPI depending on your system architecture. Launch the PixyMon software on your computer and establish communication with the sensor through the graphical interface. Train color signatures by capturing sample images of objects you wish to track, allowing the sensor's algorithm to learn the color distribution and spatial characteristics. The software displays real-time blob detection results showing object position (X, Y coordinates), size, and motion vectors at 60 FPS, enabling you to verify tracking accuracy before deploying in your application.
Once color signatures are trained and saved to the sensor's onboard memory, integrate the Pixy 2.1 with your microcontroller using the appropriate communication protocol. For Arduino platforms, leverage the Pixy2 Arduino library which provides simple functions to retrieve tracked object data including coordinates, width, height, and signature ID. Implement control algorithms in your microcontroller firmware to respond to tracked object positions, such as adjusting motor speeds for autonomous following or triggering mechanical actuators for object manipulation. Monitor performance through serial debugging output and adjust color signature sensitivity parameters in PixyMon if the sensor experiences false positives or missed detections in your specific lighting environment.
Frequently Asked Questions
What is the maximum number of objects Pixy 2.1 can track simultaneously?
Pixy 2.1 can track up to 8 distinct colored objects simultaneously at 60 frames per second. Each tracked object provides position coordinates (X, Y), width, height, and signature ID. If your application requires tracking more objects, you can implement multiple Pixy 2.1 sensors with different communication channels or use sequential signature switching techniques.
How does Pixy 2.1 perform in low-light or outdoor conditions?
The Pixy 2.1 includes integrated LED illumination (both infrared and visible light) that activates automatically to maintain consistent color detection across varying ambient light conditions. In outdoor bright sunlight, the sensor performs well with natural illumination. In dimly lit indoor environments, the built-in LEDs ensure adequate lighting for reliable color signature detection. For extremely dark conditions, external infrared illumination can be added to extend effective range.
What microcontrollers and platforms are compatible with Pixy 2.1?
Pixy 2.1 is compatible with Arduino boards (Uno, Mega, Due), Raspberry Pi, STM32 microcontrollers, and any platform supporting USB, UART, or SPI communication protocols. Official Arduino libraries are available, and community-contributed libraries exist for Python, C++, and other languages. The sensor communicates via standardized protocols, making integration straightforward across diverse embedded platforms.
Can Pixy 2.1 detect objects based on shape or pattern rather than just color?
Pixy 2.1 primarily uses color-based signature detection as its core tracking mechanism. However, it can detect objects with distinct color patterns or color combinations by training multiple color signatures. For shape-based detection or barcode recognition, you would need to implement additional image processing algorithms on the host microcontroller or use alternative vision sensors like Pixy 2 with Lego integration or OpenMV boards.
When will I receive my order?
Orders are dispatched within 1-5 business days from our Bengaluru warehouse. Delivery takes 7-8 days to most locations across India.
What is your return and warranty policy?
We offer a 7-day return policy on manufacturing defects only. Contact support within 7 days of receipt for free replacement or full refund. Not applicable for user damage or misuse.
Are bulk discounts available?
Yes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.
Why Buy from The Engineer Store
- Genuine Products: Sourced directly from authorized distributors with authentication
- Expert Team: Our technical team validates every product before listing
- Fast Shipping: Dispatched within 1-5 days from our Bengaluru warehouse
- Pan-India Delivery: 7-8 days to Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata
- Payment Options: COD, UPI, credit/debit cards, net banking, EMI available
- Technical Support: 24/7 expert guidance via email and WhatsApp
- Returns: 7-day return policy on manufacturing defects only
Buy Pixy 2.1 Smart Vision Sensor-Object Tracking Camera Online in India
Purchase the Pixy 2.1 Smart Vision Sensor-Object Tracking Camera online at The Engineer Store, India's trusted source for genuine electronics. We deliver across Bengaluru, Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata, Ahmedabad, Jaipur, and Surat. Get the best price on Pixy 2.1 Smart Vision Sensor-Object Tracking Camera with fast shipping and expert support.
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