The JOY-iT JDS2960 is a 2-channel signal generator capable of producing signals up to 60 MHz. Its compact design and the option to operate it with a power bank make it ideal for mobile use. With a variety of waveforms, including sine, square, triangle, pulse, half-wave, and more, it is suitable for various measurement technology applications. Additionally, the JDS2960 features a 1-channel frequency allocation. Its high frequency accuracy of ±20 ppm and stability of ±1 ppm/3 h ensure excellent signal quality and great flexibility. The 2.4-inch TFT color display provides user-friendly operation and enables a wide range of applications. Features 2 Channels Up to 60 MHz Robust aluminum housing 1-channel frequency counter Up to 20 Vpp Many different pre-programmed waveforms and up to 60 user-defined waveforms Pulse function Specifications Channels 2-channel Signal Generator1-channel Frequency meter Frequency range Sine: 0-60 MHzSquare, triangle: 0-25 MHzTTL, Pulse: 0-6 MHz Signal forms Sine, square, triangle, pulse, half/solid wave, exponential rise/fall, etc. Measuring range frequency counter 1-100 MHz Frequency accuracy ±20 ppm Frequency stability ±1 ppm/3 h Sampling rate 266 MSa/s Display 2,4" TFT color LCD Vertical shaft resolution 14 bits Amplitude range <10 MHz: 0-20 Vpp>10 MHz: 0-10 Vpp Amplitude resolution 1 mV Amplitude stability ±5%/5h Amplitude flatness <10 MHz: ±5%>10 MHz: ±10% Impedance of output 50 Ω ±10% Distortion factor <0.8% (20 Hz-20 KHz, 0 dBm) Dimensions 145 x 95 x 55 mm Weight 900 g Included 1x JOY-iT JDS2960 2-ch Signal Generator 1x Power supply unit 1x BNC-BNC cable 2x BNC crocodile clip cables 1x USB-DC power cable 1x USB data cable Downloads Datasheet Manual Software

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The AD584 4-ch Voltage Reference Module is designed to provide stable and accurate reference voltages of 2.5 V, 5 V, 7.5 V, and 10 V. It incorporates the AD584 integrated circuit, known for its high accuracy and stability. Features Multiple Output Voltages: The module can output four different reference voltages (2.5 V, 5 V, 7.5 V, and 10 V) accessible through a single port. Microcontroller-based Switching: An onboard microcontroller facilitates switching between the four voltage outputs, with LED indicators displaying the active selection. User-Friendly Operation: A single button allows for easy cycling through the available reference voltages. Transparent Housing: The module is encased in a transparent housing, offering protection while allowing users to view the internal components. Power Supply Options: It can be powered via a built-in lithium battery (not included) or through a 5 V DC input. A charging indicator provides status updates during charging. Output Interface: Equipped with 4mm banana sockets for secure and reliable connections. Included 1x AD584 4-ch Voltage Reference Module with Housing Downloads Datasheet

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The Arduino Nano 33 BLE Sense Rev2 with headers is Arduino’s 3.3 V AI enabled board in the smallest available form factor with a set of sensors that will allow you without any external hardware to start programming your next project, right away. With the Arduino Nano 33 BLE Sense Rev2, you can: Build wearable devices that using AI can recognize movements. Build a room temperature monitoring device that can suggest or modify changes in the thermostat. Build a gesture or voice recognition device using the microphone or the gesture sensor together with the AI capabilities of the board. Differences between Rev1 and Rev2 Replacement of IMU from LSM9DS1 (9 axis) for a combination of two IMUs (BMI270 – 6 axis IMU and BMM150 – 3 axis IMU) Replacement of temperature and humidity sensor from HTS221 for HS3003 Replacement of microphone from MP34DT05 to MP34DT06JTR Replacement of power supply MPM3610 for MP2322 Addition of VUSB soldering jumper on the top side of the board New test point for USB, SWDIO and SWCLK Specifications Microcontroller nRF52840 (datasheet) Operating Voltage 3.3 V Input Voltage (limit) 21 V DC Current per I/O Pin 15 mA Clock Speed 64 MHz CPU Flash Memory 1 MB (nRF52840) SRAM 256 KB (nRF52840) EEPROM None Digital Input / Output Pins 14 PWM Pins All digital pins UART 1 SPI 1 I²C 1 Analog Input Pins 8 (ADC 12 bit 200 k samples) Analog Output Pins Only through PWM (no DAC) External Interrupts All digital pins LED_BUILTIN 13 USB Native in the nRF52840 Processor IMU BMI270 (datasheet) and BMM150 (datasheet) Microphone MP34DT06JTR (datasheet) Gesture, light, proximity, color APDS9960 (datasheet) Barometric pressure LPS22HB (datasheet) Temperature, humidity HS3003 (datasheet) Downloads Datasheet Schematics

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Ever wanted an automated house? Or a smart garden? The Arduino IoT Cloud compatible board Nicla Vision allows you to build your next smart project. You can connect devices, visualize data, control and share your projects from anywhere in the world. Nicla Vision combines a powerful STM32H747AII6 Dual ARM Cortex M7/M4 IC processor with a 2 MP color camera that supports TinyML, as well as a smart 6-axis motion sensor, integrated microphone and distance sensor. You can easily include it into any project because it’s designed to be compatible with all Arduino Portenta and MKR products, fully integrates with OpenMV, supports MicroPython and also offers both WiFi and Bluetooth Low Energy connectivity. It’s so compact – with its 22.86 x 22.86 mm form factor – it can physically fit into most scenarios, and requires so little energy it can be powered by battery for standalone applications. All of this makes Nicla Vision the ideal solution to develop or prototype with on-device image processing and machine vision at the edge, for asset tracking, object recognition, predictive maintenance and more – easier and faster than ever. Train it to spot details, so you can focus on the big picture. Automate anything Check every product is labeled before it leaves the production line; unlock doors only for authorized personnel, and only if they are wearing PPE correctly; use AI to train Nicla Vision to regularly check analog meters and beam readings to the Cloud; teach it to recognize thirsty crops and turn the irrigation on when needed.Anytime you need to act or make a decision depending on what you see, let Nicla Vision watch, decide and act for you. Feel seen Interact with kiosks with simple gestures, create immersive experiences, work with cobots at your side. Nicla Vision allows computers and smart devices to see you, recognize you, understand your movements and make your life easier, safer, more efficient, better. Keep an eye out Let Nicla Vision be your eyes: detecting animals on the other side of the farm, letting you answer your doorbell from the beach, constantly checking on the vibrations or wear of your industrial machinery. It’s your always-on, always precise lookout, anywhere you need it to be. Downloads Schematics Datasheet

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Looking to dispense materials with a lower viscosity? These are the nozzles for you. Don't use this with our standard ink or solder paste... that will result in poor performance. This pack contains 4 extra fine nozzles with an internal diameter of 0.100 mm (4 mil).

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Grove Piezo Vibration Sensor is suitable for measurements of flexibility, vibration, impact and touch. The module is based on PZT film sensor LDT0-028. When the sensor moves back and forth, a certain voltage will be created by the voltage comparator inside of it. Therefore, outputs high & low levels. In spite of the fact that it has a high receptivity for strong impacts, a wide dynamic range (0.001 Hz~1000 MHz) also guarantees excellent measuring performance. Finally, you can adjust its sensitivity by adjusting the potentiometer with a screw. Features Standard grove socket Wide dynamic range：0.001 Hz~1000 MHz Adjustable sensitivity High receptivity for strong impact Applications Vibration Sensing in Washing Machine Low Power Wake-up Switch Low-Cost Vibration Sensing Car Alarms Body Movement Security Systems Downloads Download Wiki PDF Grove - Piezo Vibration Sensor Eagle File Grove - Piezo Vibration Sensor Schematic PDF File Grove - Piezo Vibration Sensor PCB PDF File Piezo Vibration Sensor Datasheet

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The GrovePi+ is an easy-to-use and modular system for hardware hacking with the Raspberry Pi, no need for soldering or breadboards: plug in your Grove sensors and start programming directly. Grove is an easy-to-use collection of more than 100 inexpensive plug-and-play modules that sense and control the physical world. By connecting Grove Sensors to Raspberry Pi, it empowers your Pi in the physical world. With hundreds of sensors to choose from Grove families, the possibilities for interaction are endless. Set-up in 4 simple steps Slip the GrovePi+ board over your Raspberry Pi Connect the Grove modules to the GrovePi+ board Upload your program to Raspberry Pi Begin taking in the world data

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GrovePi+ is stacked on top of the Raspberry Pi without the need for any other connections. Communication between the two occurs over the I²C interface. All Grove modules connect to the universal Grove connectors on the GrovePi+ shield via the universal 4-pin connector cable. Grove modules work on analog and digital signals and can be connected directly to the ATMEGA328 microcontroller on the Grove Pi+. The microcontroller acts as an interpreter between the Raspberry Pi and the Grove sensors. It sends, receives, and executes commands sent by the Raspberry Pi. Features One GrovePi+ board together with 12 popular Grove sensors and 10 Grove cables GrovePi+ is compatible with Raspberry Pi A+, B, B+ / 2, 3, 4. CE certified and compatible with Linux and Win 10 IoT. Included 1x Grove Pi+ 1x Grove - Rotary Angle Sensor 1x Grove - Sound Sensor 1x Grove - LCD RGB Backlight 1x Grove - Temp&Humi Sensor 1x Grove - Red LED 1x Grove - Light Sensor 1x Grove - Buzzer 1x Grove - Relay 1x Grove - Blue LED 1x Grove - Button 1x GrovePi+ Guidebook 10x Cables 1x Grove - UItrasonic Ranger 1x Grove - Green LED

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The Raspberry Pi USB-C power supply is designed specifically to power the latest Raspberry Pi 4 Model B computers. The power supply features a USB-C cable and is available in four different models to suit different international power sockets, and in two colors. Specifications Output Output voltage +5.1 V DC Minimum load current 0 A Nominal load current 3.0 A Maximum power 15.3 W Load regulation ±5 % Line regulation ±2 % Ripple & noise 120 mVp-p Rise time 100 ms maximum to regulation limits for DC outputs Turn-on delay 3000 ms maximum at nominal input AC voltage and full load Protection Short circuit protectionOvercurrent protectionOver temperature protection Efficiency 81% minimum (output current from 100%, 75%, 50%, 25%)72% minimum at 10% load Output cable 1.5 m 18AWG Output connector USB Type-C Input Voltage range 100-240 VAC (rated)96-264 VAC (operating) Frequency 50/60 Hz ±3 Hz Current 0.5 A maximum Power consumption (no load) 0.075 W maximum Inrush current No damage shall occur, and the input fuse shall not blow Operating ambient temperature 0-40°C

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World’s Most Popular ROS Platform TurtleBot is the most popular open source robot for education and research. The new generation TurtleBot3 is a small, low cost, fully programmable, ROS based mobile robot. It is intended to be used for education, research, hobby and product prototyping. Affordable Cost TurtleBot was developed to meet the cost-conscious needs of schools, laboratories and companies. TurtleBot3 is the most affordable robot among the SLAM-able mobile robots equipped with a 360° Laser Distance Sensor LDS-01. Small Size The dimension of TurtleBot3 Burger is only 138 x 178 x 192 mm (L x W x H). Its size is about 1/4 of the size of the predecessor. Imagine keeping TurtleBot3 in your backpack and develop your program and test it anywhere you go. ROS Standard The TurtleBot brand is managed by Open Robotics, which develops and maintains ROS. Nowadays, ROS has become the go-to platform for all the roboticists around the world. TurtleBot can be integrated with existing ROS-based robot components, but TurtleBot3 can be an affordable platform for whom want to get started learning ROS. Extensibility TurtleBot3 encourages users to customize its mechanical structure with some alternative options: open source embedded board (as a control board), computer and sensors. TurtleBot3 Burger is a two-wheeled differential drive type platform but it is able to be structurally and mechanically customized in many ways: Cars, Bikes, Trailers and so on. Extend your ideas beyond imagination with various SBC, sensors and motors on a scalable structure. Modular Actuator for Mobile Robot TurtleBot3 is able to get a precise spatial data by using 2 DYNAMIXEL’s in the wheel joints. DYNAMIXEL XM series can be operated by one of 6 operating modes (XL series: 4 operating modes): Velocity control mode for wheels, Torque control mode or Position control mode for joint, etc. DYNAMIXEL can be used even to make a mobile manipulator which is light but can be precisely controlled with velocity, torque and position control. DYNAMIXEL is a core component that makes TurtleBot3 perfect. It is easy to assemble, maintain, replace and reconfigure. Open Control Board for ROS The control board is open-sourced in hardware wise and in software wise for ROS communication. The open source control board OpenCR1.0 is powerful enough to control not only DYNAMIXEL’s but also ROBOTIS sensors that are frequently being used for basic recognition tasks in cost effective way. Various sensors such as Touch sensor, Infrared sensor, Color sensor and a handful more are available. The OpenCR1.0 has an IMU sensor inside the board so that it can enhance precise control for countless applications. The board has 3.3 V, 5 V, 12 V power supplies to reinforce the available computer device lineups. Strong Sensor Lineups TurtleBot3 Burger uses enhanced 360° LiDAR, 9-Axis Inertial Measurement Unit and precise encoder for your research and development. Open Source The hardware, firmware and software of TurtleBot3 are open source which means that users are welcomed to download, modify and share source codes. All components of TurtleBot3 are manufactured with injection molded plastic to achieve low cost, however, the 3D CAD data is also available for 3D printing. Specifications Maximum translational velocity 0.22 m/s Maximum rotational velocity 2.84 rad/s (162.72 deg/s) Maximum payload 15 kg Size (L x W x H) 138 x 178 x 192 mm Weight (+ SBC + Battery + Sensors) 1 kg Threshold of climbing 10 mm or lower Expected operating time 2h 30m Expected charging time 2h 30m SBC (Single Board Computers) Raspberry Pi 4 (2 GB RAM) MCU 32-bit ARM Cortex-M7 with FPU (216 MHz, 462 DMIPS) Actuator XL430-W250 LDS (Laser Distance Sensor) 360 Laser Distance Sensor LDS-01 or LDS-02 IMU Gyroscope 3 AxisAccelerometer 3 Axis Power connectors 3.3 V/800 mA5 V/4 A12 V/1 A Expansion pins GPIO 18 pinsArduino 32 pin Peripheral 3x UART, 1x CAN, 1x SPI, 1x I²C, 5x ADC, 4x 5-pin OLLO DYNAMIXEL ports 3x RS485, 3x TTL Audio Several programmable beep sequences Programmable LEDs 4x User LED Status LEDs 1x Board status LED1x Arduino LED1x Power LED Buttons and Switches 2x Push buttons, 1x Reset button, 2x Dip switch Battery Lithium polymer 11.1 V 1800 mAh / 19.98 Wh 5C PC connection USB Firmware upgrade via USB / via JTAG Power adapter (SMPS) Input: 100-240 VAC 50/60 Hz, 1.5 A @maxOutput: 12 VDC, 5 A Downloads ROS Robot Programming GitHub E-Manual Community

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The Pimoroni Explorer Starter Kit is an electronic adventure playground for physical computing based on the RP2350 chip. It includes a 2.8-inch LCD screen, a speaker, a mini breadboard and much more. It's ideal for tinkering, experiments, and building small prototypes. Features Mini breadboard for wiring up components Servo headers Analog inputs Built-in speaker Plenty of general purpose inputs/outputs Connectors for attaching crocodile leads Qw/ST connectors for attaching I²C breakouts Specifications Powered by RP2350B (Dual Arm Cortex-M33 running at up to 150 MHz with 520 KB of SRAM) 16 MB of QSPI flash supporting XiP 2.8" IPS LCD screen (320 x 240 pixels) Driver IC: ST7789V Luminance: 250 cd/m² Active area: 43.2 x 57.5 mm USB-C connector for programming and power Mini breadboard Piezo speaker 6x user-controllable switches Reset and boot buttons Easy access GPIO headers (6x GPIOs and 3x ADCs, plus 3.3 V power and grounds) 6x Crocodile clip terminals (3x ADCs, plus 3.3 V power and grounds) 4x 3-pin servo outputs 2x Qw/ST (Qwiic/STEMMA QT) connector 2-pin JST-PH connector for adding a battery Lanyard slot! Includes 2x desktop stand feet Fully-assembled (no soldering required) Programmable with C/C++ or MicroPython Included 1x Pimoroni Explorer 1x Multi-Sensor Stick – a fancy new all-in-one super sensor suite for environmental, light and movement sensing Selection of different colored LEDs to get blinky with (including red, yellow, green, blue, white and RGB) 1x Potentiometer (for analog amusements) 3x 12 mm switches with different coloured caps 2x Continuous rotation servos 2x 60 mm wheels for attaching to your servos 1x AAA battery holder (batteries not included) 1x Velcro to stick the battery holder to the back of Explorer 20x Pin to pin and 20x pin to socket jumper wires for making connections on your breadboard 1x Qw/ST cable to plug in the Multi-Sensor Stick 1x Silicon USB-C cable Downloads GitHub Schematic

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The Milk-V Duo 256M is an ultra-compact embedded development platform based on the SG2002 chip. It can run Linux and RTOS, providing a reliable, low-cost, and high-performance platform for professionals, industrial ODMs, AIoT enthusiasts, DIY hobbyists, and creators. This board is an upgraded version of Duo with a memory boost to 256M, catering to applications demanding larger memory capacities. The SG2002 elevates computational power to 1.0 TOPS @ INT8. It enables seamless switching between RISC-V/ARM architectures and supports simultaneous operation of dual systems. Additionally, it includes an array of rich GPIO interfaces such as SPI, UART, suitable for a wide range of hardware development in edge intelligent monitoring, including IP cameras, smart peephole locks, visual doorbells, and more. SG2002 is a high-performance, low-power chip designed for various product fields such as edge intelligent surveillance IP cameras, smart door locks, visual doorbells, and home intelligence. It integrates H.264 video compression and decoding, H.265 video compression encoding, and ISP capabilities. It supports multiple image enhancement and correction algorithms such as HDR wide dynamic range, 3D noise reduction, defogging, and lens distortion correction, providing customers with professional-grade video image quality. The chip also incorporates a self-developed TPU, delivering 1.0 TOPS of computing power under 8-bit integer operations. The specially designed TPU scheduling engine efficiently provides high-bandwidth data flow for all tensor processing unit cores. Additionally, it offers users a powerful deep learning model compiler and software SDK development kit. Leading deep learning frameworks like Caffe and Tensorflow can be easily ported to its platform. Furthermore, it includes security boot, secure updates, and encryption, providing a series of security solutions from development, mass production, to product applications. The chip integrates an 8-bit MCU subsystem, replacing the typical external MCU to achieve cost-saving and power efficiency goals. Specifications SoC SG2002 RISC-V CPU C906 @ 1 Ghz + C906 @ 700 MHz Arm CPU 1x Cortex-A53 @ 1 GHz MCU 8051 @ 6 KB SRAM Memory 256 MB SIP DRAM TPU 1.0 TOPS @ INT8 Storage 1x microSD connector or 1x SD NAND on board USB 1x USB-C for power and data, USB Pads available CSI 1x 16P FPC connector (MIPI CSI 2-lane) Sensor Support 5 M @ 30 fps Ethernet 100 Mbps Ethernet with PHY Audio Via GPIO Pads GPIO Up to 26x GPIO Pads Power 5 V/1 A OS Support Linux, RTOS Dimensions 21 x 51 mm Downloads Documentation GitHub

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The Waveshare PoE M.2 HAT+ (B) combines Power over Ethernet (PoE) and PCIe-to-M.2 functionality for the Raspberry Pi 5. It supports the IEEE 802.3af/at networking standards and accommodates M.2 NVMe SSDs in 2230, 2242, 2260, and 2280 form factors. Additionally, it enables SSD boot for the Raspberry Pi. Features Standard Raspberry Pi 40-pin GPIO extension header, compatible with Raspberry Pi 5 Supports Power over Ethernet (PoE) and complies with the IEEE 802.3af/at network standards Utilizes a fully isolated Switch Mode Power Supply (SMPS) for stable power delivery Supports NVMe protocol M.2 interface hard drives, offering high-speed read/write performance and high efficiency Provides 1x PCIe in Gen2 or Gen3 mode Specifically designed for the Raspberry Pi 5 only Compatible with M.2 SSDs in 2230, 2242, 2260, and 2280 form factors Specifications PoE power input 37~57 V DC Power output GPIO header: 5 V/4.5 A (max.)2P header: 12 V/2 A (max.) Network standard IEEE 802.3af/at PoE Dimensions 56 x 85 mm Included 1x Waveshare PoE M.2 HAT+ (B) 1x 16-Pin PCIe cable 1x SSD mounting screw 1x Screws pack Downloads Wiki

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This camera module adopts a SmartSens SC3336 sensor chip with 3 MP resolution. It features high sensitivity, high SNR, and low light performance and it is capable of a more delicate and vivid night vision imaging effect, and can better adapt to ambient light changes. Also, it is compatible with Luckfox Pico series boards. Specifications Sensor Sensor: SC3336 CMOS size: 1/2.8" Pixels: 3 MP Static resolution: 2304x1296 Maximum video frame rate: 30fps Shutter: Rolling shutter Lens Focal length: 3.95 mm Aperture: F2.0 FOV: 98.3° (diagonal) Distortion: <33% Focusing: Manual focus Downloads Wiki

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Get creative and dispense your own fluids with this pack of cartridges.

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THSER102 is a plug-and-play cable extension kit for Raspberry Pi Camera Modules. The kit is compatible with Raspberry Pi Camera Module 3, in addition to Camera V2 (version 2.1), HQ/Global Shutter Camera, and defined modes of the Raspberry Pi Camera Module V1.3. The THSER102 extends the cable length for >10 meters between the Raspberry Pi Camera Module and the Computer with a standard LAN Cable. There is no need for software or coding. THSER102 works as if the Raspberry Pi Camera were directly connected to the computer. The THSER102 also supports advanced applications. HAT on HAT support allows to use another HAT board on top of THSER102 Rx Board. 3ch GPIO Extension allows extending GPIO communication between the camera location and the computer. Features Supporting all Raspberry Pi Camera Modules including Camera Module 3 >10-meter Cable Extension Plug and Play No software configuration is needed. Camera works as if THSER102 not exists. Advanced Applications Supported HAT on HAT 3ch GPIO Extension Included 1x Tx Board 1x Rx Board 1x LAN Cable (2 m) 2x Flat Flex Cables 1x Pin Header 6x Mounting Screws for Rx Board 3x Longer Spacers for Rx Board 4x Mounting screws for Tx Board (for Camera V2 only) 4x Shorter Spacers for Tx Board (for Camera V2 only) 4x Mounting Nuts for Tx Board (for Camera V2 only) Downloads Datasheet

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