Arduino Starter Kit Multi-language
Sold outGet started with electronics quickly and easily - no prior experience required. Available versions: Deutsch (DE), English (EN), Español (ES), Français (FR), Italiano (IT), 中文 (CN), 한글 (KO) عربى (ARA)
Overview
Quickly and easily get started with learning electronics using the Arduino Starter Kit, which have a universal appeal to STEM fans at home, businesses in STEAM industries, and schools alike. No prior experience is required, as the kits introduce both coding and electronics through fun, engaging, and hands-on projects. You can use the starter kit to teach students about current, voltage, and digital logic as well as the fundamentals of programming. There’s an introduction to sensors and actuators and how to understand both digital and analog signals. Within all this, you’ll be teaching students how to think critically, learn collaboratively, and solve problems.
Projects you can make:
- 01 GET TO KNOW YOUR TOOLS an introduction to the basics
- 02 SPACESHIP INTERFACE design the control panel for your starship
- 03 LOVE-O-METER measure how hot-blooded you are
- 04 COLOR MIXING LAMP produce any color with a lamp that uses light as an input
- 05 MOOD CUE clue people in to how you're doing
- 06 LIGHT THEREMIN create a musical instrument you play by waving your hands
- 07 KEYBOARD INSTRUMENT play music and make some noise with this keyboard
- 08 DIGITAL HOURGLASS a light-up hourglass that can stop you from working too much
- 09 MOTORIZED PINWHEEL a colored wheel that will make your head spin
- 10 ZOETROPE create a mechanical animation you can play forward or reverse
- 11 CRYSTAL BALL a mystical tour to answer all your tough questions
- 12 KNOCK LOCK tap out the secret code to open the door
- 13 TOUCHY-FEEL LAMP a lamp that responds to your touch
- 14 TWEAK THE ARDUINO LOGO control your personal computer from your Arduino
- 15 HACKING BUTTONS create a master control for all your devices!
Once you’ve mastered this knowledge, you’ll have a palette of software and circuits that you can use to create something beautiful, and make someone smile with what you invent. Then build it, hack it and share it. You can find the Arduino code for all these projects within the Arduino IDE, click on File / Examples / 10.StarterKit.
Have a look at these video tutorials for a project by project walk-through.
Pictures shown are for illustration purpose only. Actual product may vary due to product enhancement.
Need Help?
- On the Software on the Arduino Forum
- On the Product itself through our Customer Support
Tech specs
The Starter Kit includes:
1 Projects Book (170 pages),
1 Arduino Uno,
1 USB cable,
1 Breadboard 400 points,
70Solid core jumper wires,
1 Easy-to-assemble wooden base,
1 9v battery snap,
1 Stranded jumper wires (black),
1 Stranded jumper wires (red),
6 Phototransistor,
3 Potentiometer 10kOhms,
10Pushbuttons,
1 Temperature sensor [TMP36],
1 Tilt sensor,
1 alphanumeric LCD (16x2 characters),
1LED (bright white),
1 LED (RGB),
8 LEDs (red),
8 LEDs (green),
8 LEDs (yellow),
3 LEDs (blue),
1 Small DC motor 6/9V,
1 Small servo motor,
1 Piezo capsule [PKM22EPP-40],
1 H-bridge motor driver [L293D],
1 Optocouplers [4N35],
2 Mosfet transistors [IRF520],
3 Capacitors 100uF,
5 Diodes [1N4007],
3 Transparent gels (red, green, blue),
1 Male pins strip (40x1),
20 Resistors 220 Ohms,
5Resistors 560 Ohms,
5 Resistors 1 kOhms,
5 Resistors 4.7 kOhms,
20 Resistors 10 kOhms,
5Resistors 1 MOhms,
5 Resistors 10 MOhms
Get Inspired
An intelligent device to track moves with responses during an interactive space with mapping, backlight, music and smart sculptures. This project makes use of a machine learning algorithm capable of tracking and detecting moves to identify associated gesture recognition through a microcontroller. Smart sculptures, lighting, music and video projection to trigger with each assigned gesture, creating a powerful AV experience highlighting the incredible potential of TinyML for the performing arts. This allows the corresponding media set Tiny ML in interactive to play when the right move was made because all these elements interact to create a new experience. This allows us to create Interactive installations, these sculptures use a combination of motors, sensors, and other electronics to create an immersive and interactive experience for the viewer. They may include projections, sound, and other sensory elements to create a complete experience.
With an array of onboard sensors, Bluetooth® Low Energy connectivity, and the ability to perform edge AI tasks thanks to its nRF52840 SoC, the Arduino Nano 33 BLE Sense is a great choice for a wide variety of embedded applications. Further demonstrating this point, a group of students from the Introduction to Embedded Deep Learning course at Carnegie Mellon University have published the culmination of their studies through 10 excellent projects that each use the Tiny Machine Learning Kit and Edge Impulse ML platform. Wrist-based human activity recognition Traditional human activity tracking has relied on the use of smartwatches and phones to recognize certain exercises based on IMU data. However, few have achieved both continuous and low-power operation, which is why Omkar Savkur, Nicholas Toldalagi, and Kevin Xie explored training an embedded model on combined accelerometer and microphone data to distinguish between handwashing, brushing one’s teeth, and idling. Their project continuously runs inferencing on incoming data and then displays the action on both a screen and via two LEDs. Categorizing trash with sound In some circumstances, such as smart cities or home recycling, knowing what types of materials are being thrown away can provide a valuable datapoint for waste management systems. Students Jacky Wang and Gordonson Yan created their project, called SBTrashCat, to recognize trash types by the sounds they make when being thrown into a bin. Currently, the model can three different kinds, along with background noise and human voices to eliminate false positives. Distributed edge machine learning The abundance of Internet of Things (IoT) devices has meant an explosion of computational power and the amount of data needing to be processed before it can become useful. Because a single low-cost edge device does not possess enough power on its own for some tasks, Jong-Ik Park, Chad Taylor, and Anudeep Bolimera have designed a system where