The Raspberry Pi is a series of credit card–sized single-board computers developed in the UK by the Raspberry Pi Foundation with the intention of promoting the teaching of basic computer science in schools.

The original Raspberry Pi and Raspberry Pi 2 are manufactured in several board configurations through licensed manufacturing agreements with Newark element14 (Premier Farnell), RS Components and Egoman. These companies sell the Raspberry Pi online.[8] Egoman produces a version for distribution solely in Taiwan, which can be distinguished from other Pis by their red colouring and lack of FCC/CE marks. The hardware is the same across all manufacturers.

The original Raspberry Pi is based on the Broadcom BCM2835 system on a chip (SoC), which includes an ARM1176JZF-S 700 MHz processor, VideoCore IV GPU, and was originally shipped with 256 megabytes of RAM, later upgraded (models B and B+) to 512 MB.The system has Secure Digital (SD) (models A and B) or MicroSD (models A+ and B+) sockets for boot media and persistent storage.

RASPBERRY PI project center in ernakulam trivandrum kerala

You can use MATLAB to communicate with a Raspberry Pi board and its peripheral devices using MATLAB Support Package for Raspberry Pi. You can program Raspberry Pi boards to run your algorithms using Simulink Support Package for Raspberry Pi Hardware. The support package generates code from your Simulink model in a click of a button that then runs on the Raspberry Pi board. You can design and run Simulink® models as standalone applications on a Raspberry Pi™—a tiny, low-cost, single-board computer with audio and video input/output designed for teaching.

The Raspberry Pi features a Broadcom® system-on-a-chip which includes an ARM® processor, onboard RAM, and a VideoCore IV GPU. Raspberry Pi provides peripheral connectivity for stereo audio and digital video (1080p) and supports USB and Ethernet When connected to MATLAB and Simulink products, Raspberry Pi can help students and hobbyists understand concepts and workflows for designing an embedded system, without using hand programming. You start by using Simulink to create algorithms for audio processing, computer vision, and robotics applications. Then you can apply industry-proven techniques for Model-Based Design to verify that your algorithms work during simulation. Finally, you implement the algorithms as standalone applications on a Raspberry Pi.


Hardware implementation
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Simulation Support

Engineering Projects

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