This document introduces an open source hardware board called the Tinker Board. It has a powerful quad-core processor, 2GB of RAM, WiFi/Bluetooth connectivity, and various ports. The document discusses its intended uses for education, making, and IoT applications. It provides an overview of the board's specifications and compares its performance to the Raspberry Pi. Instructions are given for setting up the board along with answers to frequently asked questions.
Piezoelectric Devices: From Bulk to Thin-Film 2019 report by Yole DéveloppementYole Developpement
How strongly will piezoelectric’s good vibrations resonate in the device market?
More information on https://www.i-micronews.com/products/piezoelectric-devices-from-bulk-to-thin-film-2019/
Forensic Photography for the Crime Scene Technician
My Public Profiles:
Odesk: https://www.odesk.com/users/~0127b9e5...
Elance: https://www.elance.com/s/hasibnobin/
Piezoelectric Devices: From Bulk to Thin-Film 2019 report by Yole DéveloppementYole Developpement
How strongly will piezoelectric’s good vibrations resonate in the device market?
More information on https://www.i-micronews.com/products/piezoelectric-devices-from-bulk-to-thin-film-2019/
Forensic Photography for the Crime Scene Technician
My Public Profiles:
Odesk: https://www.odesk.com/users/~0127b9e5...
Elance: https://www.elance.com/s/hasibnobin/
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. Egoman produces a version for distribution solely in China and 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.
This slides shows some important details about a set of chosen controllers (commonly used), differs between them and gives a clear vision about the controller specification.
It will help you to choose your project controller by showing the details and the strength point of every controlled mentioned
uCluster (micro-Cluster) is a toy computer cluster composed of 3 Raspberry Pi boards, 2 NVIDIA Jetson Nano boards and 1 NVIDIA Jetson TX2 board.
The presentation shows how to build the uCluster and focuses on few interesting technologies for further consideration when building a cluster at any scale.
The project is for educational purposes and tinkering with various technologies.
FZ3 Card - Deep Learning Accelerator CardLinda Zhang
The FZ3 Card is a powerful deep learning accelerator card based on Xilinx Zynq UltraScale+ ZU3EG MPSoC which features a 1.2 GHz quad-core ARM Cortex-A53 64-bit application processor, a 600MHz dual-core real-time ARM Cortex-R5 processor, a Mali400 embedded GPU and rich FPGA fabric. Besides, it integrates 4GB DDR4, 8GB eMMC, 32MB QSPI Flash and 32KB EEPROM as well as many peripherals including USB 2.0, USB 3.0, Gigabit Ethernet, TF, DisplayPort (DP), PCIe interface, MIPI-CSI, BT1120 camera, USB-UART, JTAG, IO expansion interfaces, etc. The rich resources enable users to integrate intelligent hardware easily.
The FZ3 Card is able to run PetaLinux 2019.1 and supports PaddlePaddle deep learning AI framework which is fully compatible to use Baidu Brain’s AI development tools like EasyDL, AI Studio and EasyEdge to enable developers and engineers to quickly leverage Baidu-proven technology or deploy self-defined models, enabling faster deployment. Typical applications are AI camera, AI computing device, robotics, intelligent car, intelligent electronic scale, patrol UAV and other embedded intelligent applications.
Topic: Low cost computing using the Raspberry PI and other single board computing platforms. Overview of the growing low cost computing environment and demo of basic configuration of the Raspberry PI and Arduino for home and business projects.
By AWS & Espressif
Learn about Amazon FreeRTOS and the Espressif Systems’ ESP32-DevKitC. Determine how this fits into an IoT solution and look at examples of using cloud services in IoT microcontroller-based devices.
The Raspberry Pi is a credit-card sized computer
It can be plugged into your TV and a keyboard, and can be used for many of the things that your average desktop does - spreadsheets, word-processing, games and it also plays high-definition video.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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. Egoman produces a version for distribution solely in China and 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.
This slides shows some important details about a set of chosen controllers (commonly used), differs between them and gives a clear vision about the controller specification.
It will help you to choose your project controller by showing the details and the strength point of every controlled mentioned
uCluster (micro-Cluster) is a toy computer cluster composed of 3 Raspberry Pi boards, 2 NVIDIA Jetson Nano boards and 1 NVIDIA Jetson TX2 board.
The presentation shows how to build the uCluster and focuses on few interesting technologies for further consideration when building a cluster at any scale.
The project is for educational purposes and tinkering with various technologies.
FZ3 Card - Deep Learning Accelerator CardLinda Zhang
The FZ3 Card is a powerful deep learning accelerator card based on Xilinx Zynq UltraScale+ ZU3EG MPSoC which features a 1.2 GHz quad-core ARM Cortex-A53 64-bit application processor, a 600MHz dual-core real-time ARM Cortex-R5 processor, a Mali400 embedded GPU and rich FPGA fabric. Besides, it integrates 4GB DDR4, 8GB eMMC, 32MB QSPI Flash and 32KB EEPROM as well as many peripherals including USB 2.0, USB 3.0, Gigabit Ethernet, TF, DisplayPort (DP), PCIe interface, MIPI-CSI, BT1120 camera, USB-UART, JTAG, IO expansion interfaces, etc. The rich resources enable users to integrate intelligent hardware easily.
The FZ3 Card is able to run PetaLinux 2019.1 and supports PaddlePaddle deep learning AI framework which is fully compatible to use Baidu Brain’s AI development tools like EasyDL, AI Studio and EasyEdge to enable developers and engineers to quickly leverage Baidu-proven technology or deploy self-defined models, enabling faster deployment. Typical applications are AI camera, AI computing device, robotics, intelligent car, intelligent electronic scale, patrol UAV and other embedded intelligent applications.
Topic: Low cost computing using the Raspberry PI and other single board computing platforms. Overview of the growing low cost computing environment and demo of basic configuration of the Raspberry PI and Arduino for home and business projects.
By AWS & Espressif
Learn about Amazon FreeRTOS and the Espressif Systems’ ESP32-DevKitC. Determine how this fits into an IoT solution and look at examples of using cloud services in IoT microcontroller-based devices.
The Raspberry Pi is a credit-card sized computer
It can be plugged into your TV and a keyboard, and can be used for many of the things that your average desktop does - spreadsheets, word-processing, games and it also plays high-definition video.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
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Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
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GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
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The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
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Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
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Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
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- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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2. Designing Concept
- For EDUCATION
• Electronics learning
• Programming/coding study
- For MAKER
• A powerful board that highly compatible with current solution
and peripherals available in the market
- For IoT/Industrial application
• Low power consumption with high performance platform
5. TINKER BOARD/2GB
Processor Cortex-A17 Quad-core 1.8GHz
GPU
ARM Mali-T764 GPU supports Support OpenGL ES1.1/2.0/3.0,
OpenVG1.1, OpenCL, DirectX11
Display
1 x HDMI, supports H.264 4K decode
1 x 15-pin MIPI DSI supports up to HD
Memory Size Dual-CH LPDDR3 2GB
Storage Micro SD(TF) card slot
Connectivity
1 x GB LAN
1 x wireless 802.11 b/g/n & BT 4.0 + EDR
Audio RTL HD Codec with 1 x 3.5mm audio jack
USB 4 x USB 2.0 ports
Internal Headers
1 x 40-pin headers includes:
- up to 28 x GPIO pins
- up to 2 x SPI bus
- up to 2 x I2C bus
- up to 4 x UART
- up to 2 x PWM
- up to 1 x PCM/I2S
- 2 x 5V power pins
- 2 x 3.3V power pins
- 8 x ground pins
1 x 2-pin contact points includes:
- 1 x PWM signal
- 1 x S/PDIF signal
Power Connector Micro USB (5V/2A)
OS Support Debian/KODI
Dimension 3.37" x 2.125"
Detail Product Specification
3.37”
2.215”
6. ASUS Tinker Board Raspberry Pi 3 Model B
Core Processor (SoC) Rockchip RK3288 Quad-Core 1.8Ghz Broadcom BCM2837 Quad-Core 1.2Ghz
Benchmark Score
(tested by GeekBench)
3925 2092
RAM 2GB 1 GB RAM
Display HDMI with H.264 4K decode capability HDMI with HD resolution
NIC Gb LAN 100M LAN
Audio Supports up to 192K/24bit sample rate 48K/16bit
Wi-Fi Yes, Wi-Fi 802.11 b/g/n + swappable antenna Yes, Wi-Fi 802.11 b/g/n
Bluetooth Yes, 4.0 + EDR Yes, 4.1 + LE
SDIO SDIO 3.0 SDIO 2.0
Official Supported OS Linux – Debian / KODI Linux – Debian
SPEC Comparison
Almost 2X faster!!
7. The Benchmark Scores of CPU/Memory
(higher is better)
0
1000
2000
3000
4000
5000
6000
7000
Geekbench Score Integer Floating Point Memory Stream
Tinker Board/2GB
Rpi 3
Testing procedure, download and install Geekbench on Tinker Board & RPi3, then run the test.
http://support.primatelabs.com/kb/geekbench/geekbench-3-benchmarks
8. The Benchmark Scores of Storage (SD Slot)
(higher is better)
0
10
20
30
40
50
60
Read Wirte
Tinker Board/2GB
Rpi 3
Testing configuration: Tinker Board/2GB & Rpi with “SanDisk ExtremePRO UHS-I 128GB SD card”
MB/s
9. How to Get it Start (1/3)
WHAT YOU WILL NEED
MONITOR HDMI CABLE KEYBOARD MOUSE
POWER SUPPLY MICRO SD CARD
*Besides the board, all the items have to purchase separately.
10. How to Get it Start (2/3)
- Insert the SD card with OS Image
- Connect HDMI Cable to Monitor
- Connect USB Keyboard & Mouse
- Connect USB Power Supply
- Boot UP
11. How to Get it Start (3/3)
- Connect to the peripherals that you need for your creation
- Using C / Python / Scratch…to code scripts
- Start make the creation
12. Question. What’s open source hardware?
Answer. "Open hardware," or "open source hardware," refers to the design specifications of a physical object which are licensed in such a way
that said object can be studied, modified, created, and distributed by anyone..
Question. Does the board use a new form factor? Who made this dimension?
Answer. As a open source hardware, there should not a standard form factor available on the market, and usually the board form factor, or even
the PCB shape depends on the project’s usage scenario. It all rely on what users want to create.
Question. What’s the main IC on this board? What’s the performance and why this SoC?
Answer. The main IC is ROCKCHIP RK3288. It’s a system-on-chip IC integrated lots of functions inside, including a quad-core cortex-A17 1.8G
processor, Mali-T764 GPU with 4K support. And the SoC performance is pretty higher as well, for example, the Antutu benchmark score is
around 37K. The high performance supports this product running the OS faster and smoother, also create the possibilities for some usage
scenarios that required strong computing power, for example, a VR headset was shown at the MWC(Mobile World Congress) exhibition this year.
https://www.youtube.com/watch?v=NH7NcrCjWlM
Question. Can I build a PC with this board? What’re the supported OS? Can I run windows on it?
Answer. Yes, this product mainly supports Linux-based OS, like Debian, and we’ll release the kernel file and datasheet for users to create more
possibilities for other OSs. But windows OS is not supported.
Question. So, this is ASUS pi?
Answer. You can expect more on us. Raspberry PI has been in the market for so long, we’re here to expand users’ choices with more options.
And this board has 4K support, higher SoC performance, faster Ethernet transmission, and flexibility for the memory size, I believe users will
create some more different creations based on these features.
FAQ (1/3)
13. Question. What’s the 40pin onboard header for?
Answer. This board provides several 5V/3.3V/I2C/SPI/UART/PWM signals allowing to connect below modules available on the market.
Question. Where can I get the peripherals, like chassis, power adapter, cable, sensor and the others?
Answer. There’re lots of e-tailers like ADAFruit, SPARK FUN, SEEED STUDIO…, and they focus on providing the peripherals including chassis,
power cable, display panel for the open source hardware.
Question. What’s the package contents?
Answer. A quick start guide, a ESD shielding bag, and a Tinker board inside of the packing box.
FAQ (2/3)
14. Question. What’s the max power consumption?
Answer. Idle with 1080P HDMI out: 2.25Watt, without HDMI: 2Watt. The max power consumption is around 5 Watt.
Question. Which Linux distributions are compatible with our MB? Is it 100% software compatible with all Raspberry Pi OS?
Answer. ASUS will release our own operating system based on Debian, and we’ll also arrange this board to 3rd party alliance for wider OS support,
such as ubuntu, openSUSE….
But due to the SoC solution is different as RPi, Tinker Board can’t install all the Raspberry Pi OS.
Question. Will we have a dedicated developer page / community were users can share their programming work?
Answer. Yes, but it’s still under discussing with HQ MKT.
If there’s any questions, please feel free to let us know, thank you!
FAQ (3/3)
Creating the future, making connections: Tinker Board is more than a dream for the DIY-obsessed: it’s a gateway to new ideas and new relationships. ASUS has been innovating for nearly three decades, and Tinker Board is our effort to create togetherness. Experienced makers will love Tinker Board’s performance-to-price ratio and strong brand heritage, while novices and younger users will appreciate its accessibility and ease of use. But all will come together to create — Together We Make!
High spec, low cost: Tinker Board packs a whole load of exciting feature into a very small space, and at an incredibly competitive price that’s barely more than its manufacturing cost. ASUS has identified a clear DIY/maker market trend and we intend to create a big impact with our little board, so we’ve crammed in loads of tech while keeping our profits to a minimum — it’s our little contribution to the DIY world.
Attractive design: Motherboards aren’t usually pretty but with Tinker Board we’ve created a little PCB that’s alive with detail and color, so it’s as great to look at as it is to handle. The diminutive dimensions and lack of ugly components like a giant heatsink mean that Tinker Board both looks and feels instantly accessible — so it will appeal to novice makers and enthusiasts alike.
Connect with others: Tinker Board is all set to transform the DIY and maker markets. With a low cost to entry and an open and flexible platform, Tinker Board will open the door to inventiveness — and allow users both young and old to connect with the wider Tinker Board community. The ASUS role will be to maximize the platform’s flexibility and expand consumer choices.