Arduino camera kit

For Arduino Kits accessory 2-Axis FPV Camera Cradle Head + OV7670 Camera Set For Robot/R/C Car - Black + Blue
HLY Trading
£26.08
Please check the model, voltage, and other parameter.Specially designed for R/C car and robot; Can be moved in top / down, smaller than 180 degree; The ov7670 camera can be used for Arduino robot and R/C car to taking scenes. A product for Arduino that works with official Arduino boards. Camera: - 3V3: Input power voltage- GDN: Grounding- SIO_C: SCCB port control clock (some low MCU need to up control, similar to I2C)- SIO_D: SCCB port serial data input / output port (some low MCU need to up control, similar to I2C)- VSYNC: Frame sync signal (output signal)- HREF: horizontal synchronizing signal (output signal)- PCLK: pixel clock (output signal)- D0-D7: data ports (output signal)- RESTE: reset port (pull up in normal use)- PWDN: power consumption choose mode (Pull down in normal use)- OV7670 image sensor is small, low working voltage; Can provide functions of VGA photographing and image processor of MCU; Can output whole frame, sub sampling and other 8bit data via SCCB bus control; VGA image up to 30fps; User can totally control image quality, data format and transmitting way; All image processors, including gamma curve, white balance, degree of saturation and color, can be programmed by SCCB port.- Standard SCCB port, compatible w/ I2C port; Output format: RawRGB, RGB(GRB4:2:2, RGB565/555/444), YUV(4:2:2) and YCbCr(4:2:2); Supports VGA, CIF, and all sizes from CIF to 40 x 30; Variopixel sub sampling method; Auto control functions: Auto exposure control, auto gain control, auto white balance, auto light strip eliminating, auto black level calibration; Image control include color saturation, primary color, gamma, acuteness, anti-bloom; ISP has function of noise cancelling and dead pixel compensation; Supports image zooming, lens light compensation; 50/60Hz auto check; Saturation auto adjust (UV); Edge enhancing auto adjustment and auto adjust noise reduction.-
Wifi Smart Car Robot Kit for Arduino iOS Video Car Robot Wireless Remote Control Android PC Video Monitoring
SmartIO
£135.38
Feature: - UNO R3 Robot main control module+ PWR robot motor driving plate with motor and servo driver - Robot-eyes HD camera, manual to adjust the focus - Robot-Link and external antenna high gain and far distance WIFI module - Solid tyre+EMC electromagnetic filtration motor - Aluminum alloy motor fixed block - Infrared tracking / obstacle avoidance sensor - 6-12V motor - 10*speed control system - Dynamic video: resolution: 640*480p - 2DB external high gain wifi antenna and real-time transmission - Support Windows, Android, iOS weirless control - PCB 1.6mm UNO R3 main control board+WIFI PWR motor driver: - Dock with UNO R3 - Communication with WIFI module and supply power with USB cable - 7-14V input - 2 channel motor interface that can drive 36W motor - 2 channel video gimbal servo interface - All the I/O of UNO has been led out Specification: Size: 25.5*14*13cm Note: This product is no battery or gimbal. Package included: - 1 x UNO R3 driving board - 1 x motor PWR motor driving module - 1 x Robot-Link 4.0 AR HD WIFI video transmitter module, external antenna 2db - 1 x PCB multifunctional 4WD Chassis - 4 x EMC TT motor - 4 x Solid rubber wheel - 1 x Robot eyes WIFI robot HD camera
OSOYOO Robot Car Kit Smart Car Learning Kit for Raspberry Pi 3B, B+,Zero W | Android/iOS APP | Web Camera 1280x720 One Megapiexl WiFi Wireless
OSOYOO
£79.99
Easy Assembly The robot car adopts humanized design for easy assembly. With dual molex plug on Model Pi driver module and customized wires, it can greatly simplify the assembly procedure and wire connection stability.The Model Pi module also privide 5V micro-USB power output for Raspberry Pi and greatly simplify Raspberry Pi power system.   Line Tracking Sensors 5 black/white sensors are included in this. Two python sample programs are included in this kit which can help you understand how to use Raspberry Pi GPIO to control and test sensor status and make car to track a black line.   Intelligent Robot Car The car in this kit is controlled by Raspberry Pi which has Linux Operation System. With Linux OS, robot car can complete tasks which are much more complex logic than traditional Arduino Car. In this kit, we provide an example of Webcam car which can send real time image to a linux web server and you can use browser or Cell phone APP to monitor and control the robot car through internet.   If you want do some more challenging task, theoretically you can google solution (i.e opencv for computer vision and machine learning on Raspberry Pi )and create your own linux based STEM project. You are welcome to share your project in Amazon comments or our website www.osoyoo.com/?p=16259   Detailed User Manual & Open Source Code An elaborately-written user manual is provided, including code explanation and thorough schematic diagrams.Also we've published several video tutorials for operation. The code for the car is written in Python and entirely open source.
For Arduino Kits Raspberry Pi camera Other Material N/A raspberry pi
HLY Trading
£22.40
Please check the model, voltage, and other parameter.SpecificationsCompatibility:raspberry piMaterial:Other MaterialType:Raspberry Pi cameraPower Supply:N / AModel:Infrared LED Board (B)Listing Date:10/27/2018Ships from china. usually need 15-25 days.
KunmniZ 1PC GY-AMG8833 IR 8x8 Infrared Camera Sensor Module Thermal Imager Array Temperature
KunmniZ
£32.06
Features: 1. The AMG8833 infrared camera sensor is an 8x8 infrared thermal sensor array. When connected to your microcontroller (or Raspberry Pi), it will return a set of 64 individual infrared temperature readings via I2C. It's like those fancy thermal cameras, but it's compact and simple and easy to integrate. The AMG8833 offers higher performance than the previous AMG8831. The sensor only supports I2C and has a configurable interrupt pin that can be triggered when any single pixel is above or below your set threshold. 2. It can detect humans from a distance of up to 7 meters (23) feet. It is a perfect fit for creating your own human detector or mini camera. We use this breakthrough code on Arduino or compatible (sensor communicates via I2C) or on Python's Raspberry Pi. On the Pi, thanks to the image processing help of the SciPy python library, we can insert an 8x8 grid and get some very good results. Specification: Accuracy: + - 2.5°C (4.5°F). Maximum frame rate: 10Hz, Power supply: 3~5V Temperature Measurement Range: 0°C to 80°C (32°F to 176°F) Dimensions: 1.7x1.8cm/0.67x0.71inch Quantity: 1 Pc Note: 1.Please allow 0-1cm error due to manual measurement. pls make sure you do not mind before you bid. 2.Due to the difference between different monitors, the picture may not reflect the actual color of the item. Thank you! Package includes: 1 x GY-AMG8833 IR 8x8 Infrared Camera Sensor Module
For Arduino Kits Raspberry Pi camera Other Material N/A raspberry pi
HLY Trading
£54.71
Please check the model, voltage, and other parameter.SpecificationsCompatibility:raspberry piMaterial:Other MaterialType:Raspberry Pi cameraSensor Function:Light / ImagingAccessories Function:ConnectorPower Supply:N / AModel:RPi Camera (G)Listing Date:10/27/2018Ships from china. usually need 15-25 days.
Dfplayer Mini MP3 Player Module for Arduino Voice Module for Arduino DIY DFPlayer Mini Voice Decode Board Supporting TF Card U-Disk IO/Serial Port/AD for arduino Diy Kit
DF MAKER
£7.99
Sing for the moment! The DFPlayer Mini is a small and low cost MP3 module player with an simplified output directly to the speaker. The module can be used as a stand alone module with attached battery, speaker and push buttons or used in combination with an Arduino UNO or any other with RX/TX capabilities. Through a simple serial port, you can play the designated music without any other tedious underlying operations. SPECIFICATION Supported sampling rates (kHz): 8/11.025/12/16/22.05/24/32/44.1/48 24 -bit DAC output, support for dynamic range 90dB , SNR support 85dB Fully supports FAT16 , FAT32 file system, maximum support 32G of the TF card, support 32G of U disk, 64M bytes NORFLASH A variety of control modes, I/O control mode, serial mode, AD button control mode Advertising sound waiting function, the music can be suspended. when advertising is over in the music continue to play Audio data sorted by folder, supports up to 100 folders, every folder can hold up to 255 songs 30 level adjustable volume, 6 -level EQ adjustable Precautions All music files must be placed in / mp3 folder The music file name must use 4 words, such as 0001.mp3, 0002.mp3 ..... 0255.mp3. Music files more than 4 words after unlimited, like 0001_Bruno_Mars_Count_On Me.mp3 is no problem. If you delete a file from the SD card, DFPlayer Mini still has a way to broadcast it, weird! The newly created SD card successfully plays the desired music file. Delay (sec); This is to tell Arduino the length of the music you want to play, if you give less than two seconds, and the next instruction is to play another song, Arduino will interrupt the current broadcast, and continue to broadcast next song. mp3_play (74); This command plays 0074.mp3 this music file.
For Arduino Kits Waveshare RPi Camera (F) Supports Night Vision Adjustable-Focus
HLY Trading
£43.22
Please check the model, voltage, and other parameter.SpecificationsCompatibility:raspberry piMaterial:Other MaterialType:Raspberry Pi cameraSensor Function:Light / ImagingAccessories Function:ConnectorPower Supply:N / AModel:RPi Camera (F)Special selected products:newListing Date:10/27/2018Ships from china. usually need 15-25 days.
Charmed Labs LLC Pan/Tilt2 Servo Motor Kit for Pixy2 - Dual Axis Robotic Camera Mount
Charmed Labs
£29.00
This is a kit for a pan/tilt mechanism designed specifically for Pixy2. Assemble the kit, connect Pixy2 (sold separately), and start following colored objects using the Pan/Tilt demo in PixyMon (free download). It includes two durable laser-cut plastic pieces for the base, two servos for the pan and tilt axes, and all the mounting hardware and cable ties you need to assemble. Assembly instructions are located on our wiki.