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Arduino Tiny Machine Learning Kit
Arduino Tiny Machine Learning Kit
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| Workshop on Building TinyML with Raspberry Pi Pico at just Rs.399/- Only. READ MORE |
- The Arduino tiny machine learning kit consists of the Arduino Nano 33 BLE Sense Lite, a camera module, and a custom Arduino shield to make it easy to attach components and create unique TinyML Projects.
- The Arduino Nano 33 BLE Sense Lite features a very powerful processor, the nRF52840 from Nordic Semiconductors, a 32-bit ARM® Cortex™-M4 CPU running at 64 MHz.
- The board packs a variety of sensors that can sense movement, acceleration, rotation, temperature, humidity, barometric pressure, sounds, gestures, proximity, color, and light intensity.
- It is the perfect board to get started on your journey in TinyML
Arduino Tiny Machine Learning Kit
The Arduino Tiny Machine Learning Kit is the perfect arduino kit to start and accelerate your journey in the new and upcoming domain of Tiny Machine Learning.
The Arduino BLE Sense Lite board comes with a lot of interesting onboard sensors as shown in the below image that enables you to build a plethora of TinyML applications like (but not limited to) building a magic wand by recognizing gestures, reacting to sounds (keyword wake words like Alexa/Ok Google/Hey Siri/ Hey Cortana)
The kit also comes with a camera module (OV7675) which opens the possibility of running different image recognition and processing-based applications.
To make things even more convenient, the kit includes a custom Arduino shield to make it easy to attach your components along with the camera to create your very own unique TinyML projects.
check out the wide range of Original Arduino Kits and accessories.
Also, read our blog on the Ultrasonic Sensor Interfacing with Arduino detailing the connection diagram to interfacing the Ultrasonic sensor with Arduino, code, and steps.
Arduino Tinyml Kit tutorial:
What is Tiny ML?
Package Includes:
- 1x Arduino Nano 33 BLE Sense Lite
- 1x OV7675 Camera
- 1x Arduino Tiny Machine Learning Shield
- 1x USB A to Micro USB cable
Shipping & Returns
Shipping & Returns
- All orders confirmed before 3 pm IST are shipped on the
same day, barring rare pickup delays on holidays or disturbances - Delivery time in Metro cities is 1-3 days, Others it is
3-7 days. It varies based on location, reliant on courier services - Return window: 7 days from receipt unless stated
otherwise. No refunds/replacements after - Returns only for non-working/damaged products are accepted
- Initiate return requests to our customer service team via Support ticket or contact us at +91-8123057137
- Refunds are processed within 3-4 working days post inspection and approval.
For more details, please check our Shipping and Return Policy
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1. What Is the Feature of the Arduino Nano Ble Sense Board?
- The feature of the Arduino Nano BLE Sense board is the possibility of running Edge Computing applications (AI) on it using TinyML. You can create your machine learning models using TensorFlow Lite and upload them to your board using the Arduino IDE.
2. What is a OV7675 Camera module?
- The OV7675 Camera module comes with a preattached M12 6mm lens. The camera module works on 8-bit parallel mode. Which makes it easy to interface with a USB shield using the 8-bit parallel interface. The camera has a rolling type of shutter.
3. Is Arduino difficult to learn?
- Arduino is cost-effective and easily accessible. Arduino is easier to learn as a programming language as it is a simplified version of the C++ programming language. Arduino is cross-platform which makes it easy to run on any sort of device compared to other microcontrollers which can only run on Windows.
4. What language does Arduino use?
- Arduino is programmed with a c/c++ 'dialect'. Most c/c++ will work but much of the standard libraries will not work. Many of the restrictions are made because of the little available RAM on the Arduino hardware.
5. What is tiny machine learning?
- Tiny machine learning (tinyML) is the intersection of machine learning and embedded internet of things (IoT) devices. The field is an emerging engineering discipline that has the potential to revolutionize many industries. The main industry beneficiaries of tinyML are edge computing and energy-efficient computing.
6. Is Arduino used in robotics?
- Arduino is one of the technologies used to teach robotics. Many children are initially unfamiliar with it. However, once they learn about all of the cool things it can do, they can't wait to put it to use.