As an Amazon Associate I earn from qualifying purchases.1. Waveshare
Waveshare IMX219-83 Stereo Camera 8MP Binocular Camera Module Stereo Vision Depth Vision Applicable for Jetson Nano Developer Kit B01 and Raspberry Pi CM3/CM3+ Expansion Board
Waveshare - 8 megapixels; sensor: sony imx219; resolution: 3280 × 2464 per camera. Lens specifications: cmos size: 1/4inch; focal length: 2. 6mm; angle of view: 83/73/50 degree diagonal/horizontal/vertical; Distortion:
Brand | Waveshare |
Manufacturer | Waveshare |
Height | 9 cm (3.54 Inches) |
Length | 18 cm (7.09 Inches) |
Weight | 0.02 kg (0.04 Pounds) |
Width | 10 cm (3.94 Inches) |
Part Number | IMX219-83 Stereo Camera |
Model | IMX219-83 Stereo Camera |
2. OSOYOO
Web CSI Camera RPi Board Not Included, OSOYOO Robotic Car for Raspberry Pi 4 3B+ 3B | STEM Educational DIY Smart Kit for Science Fair | Teens and Adults | Ultrasonic Obstacle, WiFi IOT Control
OSOYOO - Steam robotics car kitsraspberry pi board not included this upgraded pie Robotic Car for Raspberry Pi is excellent integration solution for STEAM education and beginners 14+ Teens and Adults to learn Python programming, electronics assembling, Internet of Things and robotics knowledge.
Easy to operate and enjoy an elaborately-written user manual, video, sample code with explanation and schematic diagrams are provided. Multiple functionthe developmental pie car can support multiple functions: Obstacle Avoidance, WIFI controlled, Real-time Web-camera, Line Following, Browser controller Web-cam.
Creative educational diy giftweb camera on the robot car gives you a remote-controlled and movable “eye”. You can diy interesting projects to explore narrow space areas using this little robot. Additional accessories included: 18650 battery box, 2 motors & metal motor holders, usb power cable, 5 channel Line Follower Module and CSI camera and cable, PCA9685 Compatible module, Universal wheel, Servo motor, Ultrasonic sensor & Holder, TF card reader.
The original python code which comes with the robot car is straight forward and easy to be customized to fit your own project requirement. Multiple modulesour pi car kit come with model piwhich is an improved l298n module, some jumper wires, 2 piece acrylic car chassis, 2 wheels, tf card, voltage meter.
3. Yahboom
Yahboom K210 Developer Kit Single Board Computer with AI Vision RISC-V Face Recognition Camera Touch Screen Programmable Development Board Complete Kit K210
Yahboom - K210 developer kit adopts risc-v processing architecture, smart robots, a mini full-featured development board kit designed for machine vision and auditory multi-modal recognition. Supports variety of ai visual recognition technologies, and can also realize coordinate display, lvgl graphics operation, object recognition and object classification, face detection, KPU convolution layer processing and recording playback functions.
Ai processing system comparable to Jetson Nano. It can be widely used in smart homes, security monitoring and other fields.
When the computer and the k210 development board are connected to the same WiFi, that is, they can communicate with each other, combined with IOT to achieve remote control. Board comes with hd camera, etc. Supports 3 development environments of windows/linux/mac os.
The development board comes with a factory test program, but the demo program needs to be burned in by yourself. In addition, rgb lights, microphone array interface, capacitive touch screen, such as three-way switches, gyroscopes, speakers, esF8285-WIFI module, all IO ports of the K210 chip are led out through the pin header, on-board indexing electronic components, which is convenient for users to expand. Yahboom provides a large number of open source courses and materials, and supports online after-sales technical services.
4. Sipeed
Sipeed Maix M1W Dock Kit K210 AI+lOT WiFi Development Board RISC-V Dual Core 64bit MCU for Edge Computing
Sipeed - Application: attendance and access control, Internet of Things, smart wear, machine vision, anomaly detection, robotics, predictive maintenance, smart home, passenger flow statistics, automatic driving, smart robots, voice recognition.
High performance and low power: maix m1 dock is based on the intelligent computing chip K210 RISC-V Dual Core 64bit, with FPU,400Mhz-500Mhz, Neural network processor for AloT edge computing solution.
Computing power up to 1 tops: Support TensorFlow/Keras/Darknet/Caffe Mainstream framework. Wiki https://youyeetoo. Com/blog/-72. Any technical issues after purchase please contact with our tech-support team: monica@smartfire.
Cn. Easy to use robot vision: it's a development kit to simplify aiot application programming, so that developers can use simple Micropython syntax to development, such as face recognition identification, easy to apply to machine vision and machine hearing, object recognition, microphone array applications. Or click "smartFly Tech" and ask a question.
Brand | Sipeed |
Manufacturer | Sipeed |
Weight | 0.1 kg (0.22 Pounds) |
Part Number | Maix M1W Dock |
5. Waveshare
Waveshare Binocular Camera Module Dual IMX219 8 Megapixels Stereo Vision Depth Vision Supports Jetson Nano Developer Kit B01and Raspberry Pi CM3/CM3+ Expansion Boards for AI Vision Applications
Waveshare - The module supports nvidia jetson nano developer kit b01 version, compute Module POE Board, as well as Raspberry Pi CM3/CM3+ expansion boards like Compute Module IO Board Plus, etc.
This is a binocular camera module which features dual IMX219 cameras onboard, 8Megapixels of each camera. It is suitable for AI vision applications like depth vision and stereo vision. Resources download: www. Waveshare. Com/wiki/imx219-83_Stereo_Camera.
6. IBest
IMX219-160IR Camera for NVIDIA Jetson Nano Developer Kit 8-megapixel Infrared Night Vision IR Camera Module with IMX219 Sensor 160 Degree FOV
IBest - Sensor: sony IMX219. 8 megapixels. Resolution: 3280 × 2464. Supports night vision when works with infrared LEDs. Imx219 infrared night vision camera for NVIDIA Jetson Nano Developer Kit.
Brand | IBest |
Manufacturer | IBest |
Weight | 0.03 kg (0.07 Pounds) |
Part Number | IMX219-160IR Camera |
Model | IMX219-160IR Camera |
7. Gigabyte
GIGABYTE B550 VISION D ATX Motherboard for AMD AM4 CPUs
Gigabyte - Supports 4 x ddr4 dual channel ECC and non ECC Unbuffered DIMMs. The limitless connectivity by dual USB Type-C with Titan Ridge. Ultra-fast nvme pcie 4.
0/3. 0 x4 and pcie 3. 0 x4 interface M. 2 connectors with Thermal Guards. Support for amd am4 ryzen cpu's, please refer to CPU support list for details. 2 x intel gbe lan chips 1000 mbit/100 mbit & Intel Wi-Fi 6 AX200 .
Brand | Gigabyte |
Manufacturer | Gigabyte |
Height | 4 cm (1.57 Inches) |
Length | 30.5 cm (12.01 Inches) |
Weight | 0.9 kg (1.98 Pounds) |
Width | 24.4 cm (9.61 Inches) |
Part Number | B550 VISION D |
Model | B550 VISION D |
Warranty | 3 year manufacturer |
8. Waveshare
Waveshare Jetson Nano Developer Kit B01 Package B Includes IMX219-77 Camera Board TF Card Reader Power Adapter for Image Recognition Run Multiple Neural Networks Modern AI Algorithms Fast
Waveshare - The new b01 revision, upgraded functionality. Supports 2-lanes csi camera;the new designed carrier board Is Compatible With Either Jetson Nano OR Jetson Xavier NX Convenient For Hardware Upgrading;This pack is the ideal choice for image recognition.
Jetson nano delivers 472 gflops for running modern AI algorithms fast. It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously. Imx219-77 camera features:8 megapixels, Focal Length 2.
96mm, cmos size 1/4inch, 3280 × 2464, Angle of View 77 degree. Memory: 4 gb 64-bit lpddr4 25. 6 gb/s. Jetson nano is also supported by nvidia jetpack, which includes a board support package BSP, CUDA, cuDNN, gPU computing, multimedia processing, computer vision, and TensorRT software libraries for deep learning, and much more.
Gpu: 128-core maxwell cpu: quad-core arm a57 @ 1. 43 ghz. Note: please properly keep the jetson products' original packing box and accessories if any for warranty service, otherwise, and the serial numbers on the product and packing box MUST be matched, the original manufacturer will reject returning / repairing.
Brand | Waveshare |
Manufacturer | Waveshare |
Weight | 0.32 kg (0.71 Pounds) |
Part Number | Jetson Nano Developer Kit B (for UK) |
9. KEYESTUDIO
KEYESTUDIO Raspberry Pi Camera Module Night Vision Camera Module Board 5MP Sensor with Wide Angle Lens for Raspberry Pi 4/3b+/2/3/4
KEYESTUDIO - Ccd size 1/4 inch, sensor pixels: 1080p. Support focusing, this product is an infrared night vision camera, to adjust the focus based on the distance of the object, which needs to be used together with the infrared light sensor.
Similar to fish eyes, open broad horizon, sensor lens lnfrared LED light night vision for raspberry pi 3. Focal length: adjustable;Sensor pixels: 1080p. Photosensitive chip OV5647, 5 million pixels.
Brand | KEYESTUDIO |
Manufacturer | keyestudio |
Height | 4.6 cm (1.81 Inches) |
Length | 14.2 cm (5.59 Inches) |
Weight | 0.03 kg (0.07 Pounds) |
Width | 7.11 cm (2.8 Inches) |
Part Number | SMP0079 |
10. EF ELECFREAKS
Elecfreaks Micro:bit Smart AI Lens Kit Planet X Vision Sensor with Recognition Function Module and Trained Models 1.3 Inch Mini Screen
EF ELECFREAKS - Perceivable:this ai camera can easily recognize things, such as face recognition, card recognition, color recognition and Ball recognition etc.2wiki cases get:pls enter the "elecfreaks" official website and click "Learn" to get more cases.
Elecfreaks micro:bit smart lens is an artificial intelligence module which can be programmed graphically. It is a vision sensor belonging to the Elecfreaks Planet X series and has 3 characteristics: Perceivable, Easy-to-use and Funny.
Easy-to-use: 1 easy for teachers to teach, easy for students to learn, simple graphical programming makes it easier for operation 2 easy to connect and no need for extra prower source.
Kids can build various ways to play, such as line-tracking, Ball-tracking or one button to acquire. Tips: 1without micro: bit!!! suitable for ages over 10 years old. 3strong technical support—pls click “elecfreaks” and click “Ask a question” to email us! Looking for your consultation! Funny: the ai camera is compatible with lego building blocks, and can be connected to a microbit robot carTpbot or expansion boardNezha.