Arduino, Raspberry Pi, and Making

Oct 7, 20132 likes1,101 views

Arduino and Raspberry Pi are introduced as platforms for making and the maker movement. The document provides an overview of what Arduinos and Raspberry Pis are, how they are used, and resources for getting started with them. It also includes examples of blinking an LED with Arduino code and encourages the reader to try out demonstrations of each computing platform.

Arduino and
Raspberry Pi
An introduction to making and the make
movement.

Getting started with Arduino
http://www.ladyada.net/learn/arduino/lesson1.html
/*
Blink
Turns on an LED on for one second, then off for one
second, repeatedly.
This example code is in the public domain.
*/
// Pin 13 has an LED connected on most Arduino boards.
// give it a name:
int led = 13;
// the setup routine runs once when you press reset:
void setup() {
// initialize the digital pin as an output.
pinMode(led, OUTPUT);
}
// the loop routine runs over and over again forever:
void loop() {
digitalWrite(led, HIGH); // turn the LED on (HIGH
is the voltage level)
delay(1000); // wait for a second
digitalWrite(led, LOW); // turn the LED off by
making the voltage LOW
delay(1000); // wait for a second
}

Resources for Arduino
http://youtube.com
http://ladyada.net
http://arduino.cc

Take a look at this
http://makezine.com/2013/04/14/47-raspberry-
pi-projects-to-inspire-your-next-build/

Resources for Raspberry Pi
http://www.raspberrypi.org/faqs
http://en.wikipedia.org/wiki/Raspberry_Pi
http://ivanx.com/raspberrypi/

Thanks!
lemasney@gmail.com
http://lemasney.com
John LeMasney

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Prevent infrastructure costs from becoming a significant line item on your startup’s budget! Serial entrepreneur and software architect Angelo Mandato will share his experience with AWS Activate (startup credits from AWS) and knowledge on how to architect a lean and mean AWS account ideal for budget minded and bootstrapped startups. In this session you will learn how to manage a production ready AWS account capable of scaling as your startup grows for less than $100/month before credits. We will discuss AWS Budgets, Cost Explorer, architect priorities, and the importance of having flexible, optimized Infrastructure as Code. We will wrap everything up discussing opportunities where to save with AWS services such as S3, EC2, Load Balancers, Lambda Functions, RDS, and many others.

“Why It’s Critical to Have an Integrated Development Methodology for Edge AI,...Edge AI and Vision Alliance

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/why-its-critical-to-have-an-integrated-development-methodology-for-edge-ai-a-presentation-from-lattice-semiconductor/ Sreepada Hegade, Director of ML Systems and Software at Lattice Semiconductor, presents the “Why It’s Critical to Have an Integrated Development Methodology for Edge AI” tutorial at the May 2025 Embedded Vision Summit. The deployment of neural networks near sensors brings well-known advantages such as lower latency, privacy and reduced overall system cost—but also brings significant challenges that complicate development. These challenges can be addressed effectively by choosing the right solution and design methodology. The low-power FPGAs from Lattice are well poised to enable efficient edge implementation of models, while Lattice’s proven development methodology helps to mitigate the challenges and risks associated with edge model deployment. In this presentation, Hegade explains the importance of an integrated framework that tightly consolidates different aspects of edge AI development, including training, quantization of networks for edge deployment, integration with sensors and inferencing. He also illustrates how Lattice’s simplified tool flow helps to achieve the best trade-off between power, performance and efficiency using low-power FPGAs for edge deployment of various AI workloads.

“From Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge,...Edge AI and Vision Alliance

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/from-enterprise-to-makers-driving-vision-ai-innovation-at-the-extreme-edge-a-presentation-from-sony-semiconductor-solutions/ Amir Servi, Edge Deep Learning Product Manager at Sony Semiconductor Solutions, presents the “From Enterprise to Makers: Driving Vision AI Innovation at the Extreme Edge” tutorial at the May 2025 Embedded Vision Summit. Sony’s unique integrated sensor-processor technology is enabling ultra-efficient intelligence directly at the image source, transforming vision AI for enterprises and developers alike. In this presentation, Servi showcases how the AITRIOS platform simplifies vision AI for enterprises with tools for large-scale deployments and model management. Servi also highlights his company’s collaboration with Ultralytics and Raspberry Pi, which brings YOLO models to the developer community, empowering grassroots innovation. Whether you’re scaling vision AI for industry or experimenting with cutting-edge tools, this presentation will demonstrate how Sony is accelerating high-performance, energy-efficient vision AI for all.

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DC Inverter Air Conditioners are revolutionizing the cooling industry by delivering affordable, energy-efficient, and environmentally sustainable climate control solutions. Unlike conventional fixed-speed air conditioners, DC inverter systems operate with variable-speed compressors that modulate cooling output based on demand, significantly reducing energy consumption and extending the lifespan of the appliance. These systems are critical in reducing electricity usage, lowering greenhouse gas emissions, and promoting eco-friendly technologies in residential and commercial sectors. With advancements in compressor control, refrigerant efficiency, and smart energy management, DC inverter air conditioners have become a benchmark in sustainable climate control solutions

No-Code Workflows for CAD & 3D Data: Scaling AI-Driven InfrastructureSafe Software

When projects depend on fast, reliable spatial data, every minute counts. AI Clearing needed a faster way to handle complex spatial data from drone surveys, CAD designs and 3D project models across construction sites. With FME Form, they built no-code workflows to clean, convert, integrate, and validate dozens of data formats – cutting analysis time from 5 hours to just 30 minutes. Join us, our partner Globema, and customer AI Clearing to see how they: -Automate processing of 2D, 3D, drone, spatial, and non-spatial data -Analyze construction progress 10x faster and with fewer errors -Handle diverse formats like DWG, KML, SHP, and PDF with ease -Scale their workflows for international projects in solar, roads, and pipelines If you work with complex data, join us to learn how to optimize your own processes and transform your results with FME.

Enabling BIM / GIS integrations with Other Systems with FMESafe Software

Jacobs has successfully utilized FME to tackle the complexities of integrating diverse data sources in a confidential $1 billion campus improvement project. The project aimed to create a comprehensive digital twin by merging Building Information Modeling (BIM) data, Construction Operations Building Information Exchange (COBie) data, and various other data sources into a unified Geographic Information System (GIS) platform. The challenge lay in the disparate nature of these data sources, which were siloed and incompatible with each other, hindering efficient data management and decision-making processes. To address this, Jacobs leveraged FME to automate the extraction, transformation, and loading (ETL) of data between ArcGIS Indoors and IBM Maximo. This process ensured accurate transfer of maintainable asset and work order data, creating a comprehensive 2D and 3D representation of the campus for Facility Management. FME's server capabilities enabled real-time updates and synchronization between ArcGIS Indoors and Maximo, facilitating automatic updates of asset information and work orders. Additionally, Survey123 forms allowed field personnel to capture and submit data directly from their mobile devices, triggering FME workflows via webhooks for real-time data updates. This seamless integration has significantly enhanced data management, improved decision-making processes, and ensured data consistency across the project lifecycle.

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Arduino, Raspberry Pi, and Making

1. Arduino and Raspberry Pi An introduction to making and the make movement.

2. What is an Arduino?

3. How are Arduinos being used?

4. Arduino Starter Kit

5. Getting started with Arduino http://www.ladyada.net/learn/arduino/lesson1.html /* Blink Turns on an LED on for one second, then off for one second, repeatedly. This example code is in the public domain. */ // Pin 13 has an LED connected on most Arduino boards. // give it a name: int led = 13; // the setup routine runs once when you press reset: void setup() { // initialize the digital pin as an output. pinMode(led, OUTPUT); } // the loop routine runs over and over again forever: void loop() { digitalWrite(led, HIGH); // turn the LED on (HIGH is the voltage level) delay(1000); // wait for a second digitalWrite(led, LOW); // turn the LED off by making the voltage LOW delay(1000); // wait for a second }

6. Arduino demo Let’s try it!

7. Resources for Arduino http://youtube.com http://ladyada.net http://arduino.cc

8. What is a Raspberry Pi?

9. How are Raspberry Pis being used?

10. How are Raspberry Pis being used?

11. How are Raspberry Pis being used?

12. Take a look at this http://makezine.com/2013/04/14/47-raspberrypi-projects-to-inspire-your-next-build/

13. How do I get started with Raspberry Pi?

14. How do I get started with Raspberry Pi?

15. Resources for Raspberry Pi http://www.raspberrypi.org/faqs http://en.wikipedia.org/wiki/Raspberry_Pi http://ivanx.com/raspberrypi/

16. Raspberry Pi Demo Let’s try it!

17. Thanks! [email protected] http://lemasney.com John LeMasney

Arduino, Raspberry Pi, and Making

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