Embedded Systems
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News, articles, guides, analytics, projects and startups from the embedded industry.

Topics of the channel:
◽️ machine learning
◽️ internet of things
◽️ embedded software
◽️ advanced electronics
◽️ new engineering ideas

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📱 3D-Printable Smart Digital Scale with ESP8266

This project is a user-friendly guide for constructing a precise digital scale capable of measuring weights in the gram spectrum using an ESP-12S microcontroller, a load cell, and an HX711 Wheatstone bridge to I2C converter. The inclusion of an ESP8266 with Wi-Fi capabilities allows for potential future data transmission to the cloud.

Features of the scales:
➡️ ESP8266 microcontroller with Wi-Fi capabilities.
➡️ OLED 1.3" I2C display for clear weight readings.
➡️ Load cell (e.g., 5kg) with HX711 ADC for precise measurements.
➡️ 3D printing option for customizable case.
➡️ Calibration functionality for accurate weight readings.
➡️ Possibility to modify code for additional functionalities like counting objects or calculating liquid volume.

This project is intriguing due to its combination of hardware and software elements, providing users with a hands-on experience in building a functional IoT device.

More information...

#projects #esp32 #arduino
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📺 The comparison of Raspberry CM4's analogues

The video discusses the emergence of various Compute Module 4 clones, which are compact, single-board computers used for applications like portable gaming emulators, smart lighting, and industrial control systems. The narrator highlights the challenges in obtaining the original Compute Module 4 due to supply constraints. They provide a brief overview of several clones, each featuring different chips and functionalities.

The video covers the performance, quirks, and user-friendliness of these clones, emphasizing the importance of being able to buy and use a board easily. Additionally, the video introduces new Compute Module 4 projects for 2024, including an industrial Pi computer, a TV stick, flash sticks for updating compute modules, an industrial DIN rail-mounted computer, and a Pi KVM box with a unique Ethernet-over-USB-C feature. The video concludes by acknowledging the growing interest in Compute Module 4 projects and speculating about the potential release of Compute Module 5 in the future.

https://youtu.be/KghZIgkKZcs

#video #raspberry
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🗜️ PCB Solder Fren

This is a project of a versatile DIY PCB holder designed for soldering small PCBs. This adjustable tool features 3D-printed parts, including pairs of legs, clamp posts, a knob, and a clamp head in STL format, along with necessary hardware like a 2020 aluminum extrusion profile, an 8mm OD, 24mm length spring, and M5 screws.

Designed to accommodate various PCB sizes and shapes, the holder offers flexibility with the option to secure end caps through threading or glue, providing a practical solution for soldering tasks. The project emphasizes simplicity and adaptability, offering a valuable resource for DIY electronics enthusiasts working on intricate PCB projects. Additionally, a comprehensive blog post breaks down the workflow and steps involved in creating this DIY PCB holder.

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#projects #tools
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📺 how NASA writes space-proof code

Explore the intricacies of NASA's embedded coding practices in this revealing video. Delve into the "Power of 10," NASA's rule set for crafting dependable software for space missions. Uncover the reasons behind NASA's avoidance of intricate control flow, insistence on fixed loop bounds, and exclusive use of stack memory. The video underscores the significance of concise functions, meticulous variable declaration, and thorough return value checks. Essential viewing for programmers keen on understanding how NASA upholds code safety for space exploration.

https://youtu.be/GWYhtksrmhE

#video #programming
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Embedded Systems
📰 A company's new robot can change from four wheel drive to bipedal in seconds A company called Swiss-Mile has created an innovative robot that combines legs and wheels to create, what they hope, will be the most versatile last-mile delivery robot on the…
💪 ANYmal Upgrade: Curiosity Unleashes Advanced Manipulation Skills

Zürich-based Swiss-Mile has enhanced the ANYmal quadruped robot with powered wheels for speed and efficiency, enabling it to handle curbs and stairs. The robot has been taught to stand up, facilitating more versatile movement and manipulation using its wheel-hand-leg-arms. Researchers at ETH Zurich's Robotic Systems Lab employed curiosity-driven learning, a form of reinforcement learning, to train the robot in tasks like opening doors and placing packages into boxes.

The robot's curiosity about specific elements, such as the door handle or package motion, helps it explore and innovate solutions independently. The use of sparse rewards in training results in diverse and reliable behaviors, allowing the robot to recover from real-world mistakes. While relying on visual code-based systems like AprilTags, Swiss-Mile aims to further develop the robot's capabilities, indicating potential practical applications for the ANYmal.

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#news #robots #machine_learning
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✍️ Firmware Static Analysis with CodeChecker

Explore the nuances of firmware static analysis with CodeChecker! Delve into the familiar challenges of C programming, from undefined behavior to memory leaks. This article introduces CodeChecker, an open-source tool built on clang's static analyzer. Uncover the simplicity of integrating CodeChecker into firmware projects to catch bugs before they reach end-users. Navigate false positives with practical strategies like adding assertions and CodeChecker-specific comments. Join the conversation on static analysis tools in the comments and anticipate insights on running analysis in CI. Elevate your coding practices with CodeChecker, bolstering your code's resilience against potential vulnerabilities.

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#articles #programming #software #tools
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🤖 Tesla demonstrates Optimus Gen 2

Tesla has unveiled the Optimus Gen 2 humanoid robot, showcasing improved humanlike dexterity and mobility. The robot features 11 degrees of freedom in its hands with tactile sensors in each finger, a 2-DoF neck, in-house-designed actuators and sensors, and integrated electronics. The enhancements include a 30% increase in walking speed, force/torque sensing, articulated toe sections in its feet, and a 10 kg weight reduction for improved energy efficiency, cost, and safety.

The company plans to initially deploy the robot in its automotive and battery factories. However, amidst the positive news, Tesla is also recalling over 2 million vehicles due to concerns surrounding its Autopilot system. The National Highway Traffic Safety Administration (NHTSA) is investigating safety issues related to Autopilot, and critics argue that Tesla didn't adequately communicate the risks.

Despite the recall, Tesla CEO Elon Musk has released an impressive video of the Gen 2 Optimus robot, emphasizing its capabilities and addressing skepticism. Musk believes the Optimus business could eventually surpass the value of Tesla's car business and full self-driving technology.

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#news #robots
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👋 Stanford Doggo - an Open-Source quadruped robot

Stanford Doggo is a cost-effective, four-legged robot developed by Stanford students from the Extreme Mobility team. It is designed for traversing challenging terrain, performing acrobatic tricks, and encouraging an open-source community by providing comprehensive plans and code online.

Features of the robot:
➡️ Holds the record for the highest vertical jumping agility among all robots.
➡️ Estimated cost of less than $3,000, making it a cost-effective.
➡️ Capable of walking, trotting, dancing, and performing impressive jumps and backflips.
➡️ Comprehensive plans, code, and supply list freely available online, fostering a collaborative community.
➡️ Motors recalculate at a remarkable 8,000 times per second, contributing to the robot's agility.

With open-access plans and code, Stanford Doggo beckons tech enthusiasts and researchers to explore its intricacies, offering a hands-on opportunity to contribute to the ever-evolving landscape of robotic locomotion.

More information:
🔗 The main article
😹 The GitHub page

#projects #robots
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📼 Andrej Karpathy’s Baby Llama Runs on Samsung Galaxy Watch 4

Andrej Karpathy, from OpenAI, developed Baby Llama as a weekend project to demonstrate the possibility of running the Llama 2 model on edge devices. The project, inspired by Georgi Gerganov's llama.cpp, involves training the Llama 2 model using PyTorch and then saving the weights in a binary file. Karpathy created a compact C file ('run.c') for loading and running the model with single-precision calculations, ensuring a low-memory footprint and independence from external libraries.

The model runs efficiently even on a single M1 laptop without GPUs, with performance enhancements achieved through various compilation flags for code optimization. A Twitter user successfully demonstrated Baby Llama running on a Samsung Galaxy Watch 4.

Karpathy's repository provides the pre-trained model and code, allowing anyone to experiment with Baby Llama on their devices. It's important to note that this project is experimental and not meant for production use, aiming to showcase the viability of running advanced models on low-powered devices with C, a language typically not associated with machine learning due to its GPU incompatibility.

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#news #artificial_intelligence
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📷 Custom Handheld Pi Zero HQ Camera

This project stands out in the realm of DIY camera technology. At its core, the camera integrates a Raspberry Pi Zero (with a preference for the Pi Zero 2) and the High-Quality (HQ) Camera module, coupled with a compact 1.5" Waveshare OLED display. Its unique features include live preview, zoom-crop panning for manual focus assistance, file viewing capabilities, and an integrated 10-axis IMU for potential horizon level overlay applications.

This creation is less about competing with high-end cameras like the Sony Alpha series and more about providing a platform for custom software development and experimentation in camera design. The estimated cost of the camera, considering major components and a 35mm lens, stands around $185.00.

More information:
☠️ The Hackaday page
😹 The GitHub page

#projects #camera #raspberry #python
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3 trends for 2024: edge intelligence, RISC-V, & chiplets

This article discusses three major technology trends expected to shape 2024:

➡️ Edge Intelligence Enhancement: The article highlights advancements in deploying large language models (LLMs) on devices with limited memory, particularly focusing on a research paper by Apple. This paper introduces techniques for efficient LLMs operation on such devices, indicating a broader trend of increased machine learning and inference capabilities at the edge of networks.

➡️ RISC-V Architecture Adoption: The formation of Quintauris, a company backed by major tech players, is set to accelerate the commercialization of RISC-V hardware globally. This development suggests a growing interest in RISC-V architecture, especially in automotive, mobile, and IoT applications. The industry is moving towards heterogeneous computing architectures, where RISC-V plays a crucial role in various functions.

➡️ Rise of Chiplets: Chiplets are emerging as a solution to the high demands of machine learning-intensive products. The trend is compared to the evolution of the intellectual property business two decades ago. Startups like Zero ASIC are democratizing chip-making with platforms for chiplet-based design and emulation. The increasing use of chiplets will rely on standardization efforts like the UCIe specification.

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#news #artificial_intelligence
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