Webinar embarcados - Simplificando seus projetos de Internet das coisas com o...Embarcados
Conheça o iMCP HT32SX – O componente para conectividade Sigfox, desenvolvido e fabricado no Brasil pela HT Micron Semicondutores S.A.! Perfeito para fazer protótipos do seu dispositivo IoT em menos tempo e com mais facilidade.
O iMCP HT32SX é um System-in-Package(SiP) que integra diferentes componentes e tecnologias dentro de um único encapsulamento. O sistema otimizado do SiP permite um melhor desempenho, menor consumo de energia e o desenvolvimento de dispositivos IoT com tamanhos super reduzidos.
Interface - Specialized are available at componentship.com.we offer inventory, pricing, & datasheets for Interface - Specialized Integrated Circuits (ICs)
http://www.componentschip.com/Integrated-Circuits-(ICs)/Interface-Specialized.html
Android Meets A BeagleBone In The IoT WorldLars Gregori
As we all know Android runs on Smartphones, TVs, watches, cars but also on single-board computers like the BeagleBone Black. A BeagleBone Black has digital and analog inputs and outputs and supports bus protocols like I2C and SPI. It also has an HDMI output and the ability to connect a (touch) display.
I'll start with an Internet of Things (IoT) overview and take a look at the potential of Android as IoT device. In a demo (with source code) I'll show how to read sensors data (e.g. light, temperature) and control actuators (e.g. LEDs) with an Android App. An additional demo will show the CPU time or memory usage of a selected Linux process ID (PID) on a 7-segment display (like old alarm clocks) to monitor Android Apps.
Webinar embarcados - Simplificando seus projetos de Internet das coisas com o...Embarcados
Conheça o iMCP HT32SX – O componente para conectividade Sigfox, desenvolvido e fabricado no Brasil pela HT Micron Semicondutores S.A.! Perfeito para fazer protótipos do seu dispositivo IoT em menos tempo e com mais facilidade.
O iMCP HT32SX é um System-in-Package(SiP) que integra diferentes componentes e tecnologias dentro de um único encapsulamento. O sistema otimizado do SiP permite um melhor desempenho, menor consumo de energia e o desenvolvimento de dispositivos IoT com tamanhos super reduzidos.
Interface - Specialized are available at componentship.com.we offer inventory, pricing, & datasheets for Interface - Specialized Integrated Circuits (ICs)
http://www.componentschip.com/Integrated-Circuits-(ICs)/Interface-Specialized.html
Android Meets A BeagleBone In The IoT WorldLars Gregori
As we all know Android runs on Smartphones, TVs, watches, cars but also on single-board computers like the BeagleBone Black. A BeagleBone Black has digital and analog inputs and outputs and supports bus protocols like I2C and SPI. It also has an HDMI output and the ability to connect a (touch) display.
I'll start with an Internet of Things (IoT) overview and take a look at the potential of Android as IoT device. In a demo (with source code) I'll show how to read sensors data (e.g. light, temperature) and control actuators (e.g. LEDs) with an Android App. An additional demo will show the CPU time or memory usage of a selected Linux process ID (PID) on a 7-segment display (like old alarm clocks) to monitor Android Apps.
Here, an active RFID tag is used in place of voter id where the system can scan the tag and matches with the fingerprints collected in the Aadhar database.
The voter has to scan the RFID tag for the identification and further the voter has to confirm the identity with the fingerprints.
When fingerprints get matched then voters can cast their votes as the data gets matched.
A LCD is applicable in the process of displaying the corresponding information of the voter from the database, thus illegal voting or impersonating can be avoided since the finger prints is not the same for every individual
Key Features
MGC3130 3D Tracking and Gesture Controller
Built-in 7" frame electrodes
Interface select
LED bar signalling when board is powered and indicating the communication status
Microchip’s PIC18F14K50 USB microcontroller passing messages between MGC3130 and the PC
USB mini-B connector to connect the board to a PC
Reset button resetting the MGC3130
Microchip’s MCP1801 LDO voltage regulator converting 5V USB power to 3.3V board supply
Acrylic glass (180 x 116.5 x 2 mm) simulating the housing of a target device
Plastic rivets mounting the acrylic glass to the PCB
Supports Windows XP, Windows 7 or Windows 8 Operating system
- See more at: https://www.pantechsolutions.net/gesture-kit#sthash.5i5RiEmE.dpuf
Implementing AI: Hardware Challenges: Ultra-Low Power AI at the Edge with Lat...KTN
In this session we will give an introduction to Lattice’s sensAI solution stack including the latest enhancements to support higher accuracy, lower-latency AI applications. sensAI is Lattice’s award winning AI solutions stack providing a complete suite of material for deploying AI at the edge of the network including software tools, hardware platforms, IP, reference designs and production ready NN models.
The Implementing AI: Hardware Challenges, hosted by KTN and eFutures, is the first event of the Implementing AI webinar series to address the challenges and opportunities that realising AI for hardware present.
There will be presentations from hardware organisations and from solution providers in the morning; followed by Q&A. The afternoon session will consist of virtual breakout rooms, where challenges raised in the morning session can be workshopped.
Artificial Intelligence now impacts every aspect of modern life and is key to the generation of valuable business insights.
Implementing AI webinar series is designed for people involved in the management and implementation of AI based solutions – from developers to CTOs.
Find out more: https://ktn-uk.co.uk/news/just-launched-implementing-ai-webinar-series
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/08/flexible-machine-learning-solutions-with-lattice-fpgas-a-presentation-from-lattice-semiconductor/
Sreepada Hegade, Senior Manager for ML Software and Solutions at Lattice Semiconductor, presents the “Flexible Machine Learning Solutions with Lattice FPGAs” tutorial at the May 2021 Embedded Vision Summit.
The ability to perform neural network inference in resource-constrained devices is fueling the growth of machine learning at the edge. But application solutions require more than just inference—they also incorporate aggregation and pre-processing of input data, and post-processing of inference results. In addition, new neural network topologies are emerging rapidly. This diversity of functionality and quick evolution of topologies means that processing engines must have the flexibility to execute different types of workloads. I/O flexibility is also key, to enable system developers to choose the best sensor and connectivity options for their applications.
In this talk, Hegade explores how the configurable nature of Lattice FPGAs and the soft cores implemented on them allow for quick adoption of emerging neural network topologies, efficient execution of pre- and post-processing functions, and flexible I/O interfacing. He also shows how his company optimizes network topologies and its compiler to get the best out of FPGAs.
Implementing AI: Hardware Challenges: Heterogeneous and Adaptive Computing fo...KTN
Exploring strategies to deploy and adapt custom hardware such as Google Tensor Processing Units and Xilinx Deep-learning Processing Units to obtain high-performance and energy-efficient AI.
The Implementing AI: Hardware Challenges, hosted by KTN and eFutures, is the first event of the Implementing AI webinar series to address the challenges and opportunities that realising AI for hardware present.
There will be presentations from hardware organisations and from solution providers in the morning; followed by Q&A. The afternoon session will consist of virtual breakout rooms, where challenges raised in the morning session can be workshopped.
Artificial Intelligence now impacts every aspect of modern life and is key to the generation of valuable business insights.
Implementing AI webinar series is designed for people involved in the management and implementation of AI based solutions – from developers to CTOs.
Find out more: https://ktn-uk.co.uk/news/just-launched-implementing-ai-webinar-series
Leveraging the built-in switching and routing capabilities of the RUGGEDCOM RX1500, the RUGGEDCOM APE is a utility-grade computing platform that plugs directly into any member of the RUGGEDCOM RX1500 family and makes it possible to run third party software applications without the complications and inconveniences of procuring an external industrial PC.
Here, an active RFID tag is used in place of voter id where the system can scan the tag and matches with the fingerprints collected in the Aadhar database.
The voter has to scan the RFID tag for the identification and further the voter has to confirm the identity with the fingerprints.
When fingerprints get matched then voters can cast their votes as the data gets matched.
A LCD is applicable in the process of displaying the corresponding information of the voter from the database, thus illegal voting or impersonating can be avoided since the finger prints is not the same for every individual
Key Features
MGC3130 3D Tracking and Gesture Controller
Built-in 7" frame electrodes
Interface select
LED bar signalling when board is powered and indicating the communication status
Microchip’s PIC18F14K50 USB microcontroller passing messages between MGC3130 and the PC
USB mini-B connector to connect the board to a PC
Reset button resetting the MGC3130
Microchip’s MCP1801 LDO voltage regulator converting 5V USB power to 3.3V board supply
Acrylic glass (180 x 116.5 x 2 mm) simulating the housing of a target device
Plastic rivets mounting the acrylic glass to the PCB
Supports Windows XP, Windows 7 or Windows 8 Operating system
- See more at: https://www.pantechsolutions.net/gesture-kit#sthash.5i5RiEmE.dpuf
Implementing AI: Hardware Challenges: Ultra-Low Power AI at the Edge with Lat...KTN
In this session we will give an introduction to Lattice’s sensAI solution stack including the latest enhancements to support higher accuracy, lower-latency AI applications. sensAI is Lattice’s award winning AI solutions stack providing a complete suite of material for deploying AI at the edge of the network including software tools, hardware platforms, IP, reference designs and production ready NN models.
The Implementing AI: Hardware Challenges, hosted by KTN and eFutures, is the first event of the Implementing AI webinar series to address the challenges and opportunities that realising AI for hardware present.
There will be presentations from hardware organisations and from solution providers in the morning; followed by Q&A. The afternoon session will consist of virtual breakout rooms, where challenges raised in the morning session can be workshopped.
Artificial Intelligence now impacts every aspect of modern life and is key to the generation of valuable business insights.
Implementing AI webinar series is designed for people involved in the management and implementation of AI based solutions – from developers to CTOs.
Find out more: https://ktn-uk.co.uk/news/just-launched-implementing-ai-webinar-series
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/08/flexible-machine-learning-solutions-with-lattice-fpgas-a-presentation-from-lattice-semiconductor/
Sreepada Hegade, Senior Manager for ML Software and Solutions at Lattice Semiconductor, presents the “Flexible Machine Learning Solutions with Lattice FPGAs” tutorial at the May 2021 Embedded Vision Summit.
The ability to perform neural network inference in resource-constrained devices is fueling the growth of machine learning at the edge. But application solutions require more than just inference—they also incorporate aggregation and pre-processing of input data, and post-processing of inference results. In addition, new neural network topologies are emerging rapidly. This diversity of functionality and quick evolution of topologies means that processing engines must have the flexibility to execute different types of workloads. I/O flexibility is also key, to enable system developers to choose the best sensor and connectivity options for their applications.
In this talk, Hegade explores how the configurable nature of Lattice FPGAs and the soft cores implemented on them allow for quick adoption of emerging neural network topologies, efficient execution of pre- and post-processing functions, and flexible I/O interfacing. He also shows how his company optimizes network topologies and its compiler to get the best out of FPGAs.
Implementing AI: Hardware Challenges: Heterogeneous and Adaptive Computing fo...KTN
Exploring strategies to deploy and adapt custom hardware such as Google Tensor Processing Units and Xilinx Deep-learning Processing Units to obtain high-performance and energy-efficient AI.
The Implementing AI: Hardware Challenges, hosted by KTN and eFutures, is the first event of the Implementing AI webinar series to address the challenges and opportunities that realising AI for hardware present.
There will be presentations from hardware organisations and from solution providers in the morning; followed by Q&A. The afternoon session will consist of virtual breakout rooms, where challenges raised in the morning session can be workshopped.
Artificial Intelligence now impacts every aspect of modern life and is key to the generation of valuable business insights.
Implementing AI webinar series is designed for people involved in the management and implementation of AI based solutions – from developers to CTOs.
Find out more: https://ktn-uk.co.uk/news/just-launched-implementing-ai-webinar-series
Leveraging the built-in switching and routing capabilities of the RUGGEDCOM RX1500, the RUGGEDCOM APE is a utility-grade computing platform that plugs directly into any member of the RUGGEDCOM RX1500 family and makes it possible to run third party software applications without the complications and inconveniences of procuring an external industrial PC.
在住家中,由於裝潢的因素,佈線是一個最大的問題。本專題特別選用 ESP8266(WiFi) 做為感測器與控制主機的通訊,並在控制主機上架設 WiFi AP,避免影響使用者家中現有的 AP 或使用者沒有 AP 的情況。
智慧家庭使用 Raspberry Pi 當控制主機,接收由 Arduino 控制的各種感測器(溫溼度、人體紅外線、CO偵測、RFID感應、門鎖控制、磁簧開關、閃光喇叭、燈光、風扇等)的資訊。
Arduino 透過 ESP8266 利用 WiFi 連線到 Raspberry Pi 上的 WiFi AP 傳送訊號,Raspberry Pi 透過 Ethernet 連到雲端讓使用者離開家中仍然可以遠端監控狀態。
本系統預計規劃為三個階段:
一、能在 Raspberry Pi 上的 web 顯示與控制各種感測器
二、能在遠端使用 web 監控各種感測器
三、能使用時序控制、連動控制
Yuktix was invited to give a small talk in Open data meet, Bangalore on the features of Bangalore open weather network, about the IOT device, environmental sensor, how data is captured, stored and published. Yuktix also released that very soon, we are going to launch a Python SDK using which any one can access Bangalore open weather network data just by writing a 10 line python code.
Briefly show my perspective on the Internet of Things, and present the Zolertia technology as a key to unlock the next generations of IoT connected devices.
Slides presented at the BCN IoT meetup, September 2016.
The MRAA and UPM Eclipse IoT Projects | Eclipse IoT Day Santa Clara 2019Eclipse IoT
With Internet of Things (IoT) platforms, sensors and actuators becoming more performant, smaller, and cheaper, new opportunities emerge for diverse applications in multiple domains such as smart homes and cities, industrial automation, healthcare and retail, environment and agriculture, transportation and safety, digital surveillance and security, control systems and robotics, wireless sensor networks, and many others. The IoT community is more vibrant than ever but with the incredible device diversity in this space, we also introduce a lot of complexity for the software developer. During recent years, Intel® established itself as a leader in IoT by releasing proven developer kits and software tools with select partners for a broad range of developer personas and skill levels. This presentation focuses primarily on the MRAA and UPM middleware projects which have been a part of the Intel IoT Developer Kits since day 1 and are now proudly joining the Eclipse IoT community. The MRAA library provides an abstraction layer for several Intel and non-Intel IoT platforms, offering C/C++, Java, JavaScript, and Python bindings to the physical pins and buses. This is subsequently used by the UPM sensor library for exposing standardized APIs intended to simplify the interaction between developers and peripherals, with virtually over 400 different specialized sensors, actuators and radio modules currently supported as part of the project.
//SPEAKER
Tudor Panu, Intel
BrightTalk webinar given last June, 21st and available in https://summits.brighttalk.com/webinar/big-data-and-real-time-analytics-in-the-iot-from-measurement-to-knowledge/
Covering:
- IoT Analytics business cases
- IoT & Analytics platform
- Examples and tecnical description.
In KeyASIC, we produce Wi-Fi products as well as offering IoT solution and platform.
Find out more about our SD and USB based Wi-Fi products, KCARD & KDRIVE and their success stories.
http://www.kclubmall.com/
If you are looking for some IoT solutions or platform to build your products, KeyASIC offers a powerful micro-controller based SoC with Wi-Fi connectivity module that allow anyone to proof their concepts, prototype and even go straight to mass production at minimal cost.
Contact us:
http://keyasic.com/
InSource 2017 IIoT Roadshow: Collecting and Moving DataInSource Solutions
By Pete Bayes, Advantech
In today’s world, the infrastructure provided by smart city and industrial automation systems enables continuous connectivity. The commonality shared by such systems is their association with the Internet of Things (IoT). With the inclusion of sensors and control devices, entire infrastructures can be integrated with information and communication technologies, resulting in networked and embedded devices that enable intelligent monitoring and management.
Advantech is a global leader in the embedded computing market, learn more by viewing the presentation.
Dentro do webinar discutimos um pouco sobre como o IoT esta permitindo diversas mudanças e impactos relevantes dentro do setor energético e como as empresas tem que se mover para conseguirem atender aos novos requisitos visando um gerenciamento remoto, controle de ativos e manutenção preditiva!
Sensoplex - Your Partner in the Wearables' MarketSensoplex
Sensoplex is a Silicon Valley company expert in sensing, wireless and low power computing technologies.
We provide leading edge professional services for the definition, development and production of innovative wearables for fitness, wellness and health applications.
Our development kits enable customers to rapidly test & expand their ideas and applications in their market.
Our proven flexible hardware & software frameworks provide a solid foundation for customers to develop their product in record time.
Working together we can reduce your time-to-money by as much 50%.
AI邊緣運算實作: TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
[1]python程式設計
https://bit.ly/359cz4m
[2]AI機器學習&深度學習
http://bit.ly/2KDZZz4
[3]TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
Tiny ML for spark Fun Edge
https://www.ittraining.com.tw/ittraining/it-elearning/el-ai/ai-tensorflow-lite-for-mcu
TensorFlow Lite for MCU正是專為邊緣裝置設計的TensorFlow模型預測框架,是TensorFlow的精簡版本,讓開發者可以在物聯網與嵌入式裝置中部署微型機器學習模型。 本課程將教授AI模型如何佈署於微控制器,包含模型訓練、模型最佳化以及TensorFlow Lite框架的程式開發等。此外,在實作上以Sparkfun edge board (ARM cortex M4)為例,說明如何以TensorFlow Lite 進行微控制器上面的人工智慧開發專案,包含人臉偵測、關鍵字的字詞偵測、姿態識別、異常偵測等。
https://youtu.be/RHvROP94qZ0
AI邊緣運算實作: TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
[1]python程式設計
https://bit.ly/359cz4m
[2]AI機器學習&深度學習
http://bit.ly/2KDZZz4
[3]TensorFlow Lite for MCU
https://bit.ly/3j2fIIt
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
ER(Entity Relationship) Diagram for online shopping - TAEHimani415946
https://bit.ly/3KACoyV
The ER diagram for the project is the foundation for the building of the database of the project. The properties, datatypes, and attributes are defined by the ER diagram.
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
4. IOT架構說明
Home Automation & Lighting
Remote Controls
Medical, Health & HID
Wireless Audio
Low Power RF
2.4 GHz Transceiver
+MSP430 MCU
Proprietary solution
RF4CE
IEEE 802.15.4 compliant
System on Chip
USB on CC2531
RemoTI RF4CE SW
2.4 GHz Radio
Complete SoC,
32 KB Flash / USB
Bluetooth low energy
BLE compliant SoC
ANT Network Processor
ANT / ANT+ compliant
Smart Metering
ZigBee
System on Chip
IEEE 802.15.4 compliant
802.15.4 Transceiver
15.4 MAC or ZigBee
ZigBee
System on Chip
IEEE 802.15.4 compliant
Alarm and Security
5. 短距無線簡介
1000m
Building Automation
Smart Energy / Metering
RC / Consumer Electronics
Medical PAN
Telecom
Data Rate
(bps)
100k 1M 10M10k1k
Range
100m
10m
1m
ZigBee PRO / RF4CE
PC Networking
Home Networking
Video Distribution
Wi-Fi/802.11
Proprietary Low Power Radio
Gaming
Computer Peripherals
Audio
Meter Reading
Building Mgt.
Automotive
UWB
Wireless USB
Video/audio links
Headsets
Computer peripherals
PDA/Mobile phone
Mobile phone accessories
Gaming / HID / Remote Controls
Sports, medical, consumer health
low energy
10cm RFid
NFC
8. 系統設計簡介
• Smart Oven:
– PID heating control with Temperature data and
fitting curve from APPs..
– Auto Alert for each changing and marked points.
– Wireless connection with mobile APPs through
BLE or Wi-Fi.
• Mobile APPs:
– Baking curve plot and marking alert points.
– PID Control.
10. RFSOC–CC2540
• 8051 MCU - 128/256 kB in-system programmable Flash 8 kB
SRAM
• Programmable Radio Supports
– Bluetooth Low Energy (1Mbps GFSK)
• Digital peripherals
– 21 GPIOs
– 2 USART (UART or SPI)
– Full Speed USB 2.0
– 2x 16 bit, 2x 8-bit timers
– Dedicated Link Layer timer for Bluetooth LE protocol timing
– AES-128 encryption/decryption in HW
• Advanced analog peripherals
– 8-channel 8-12 bit delta-sigma ADC
– Ultra-low-power analog comparator
– Integrated high-performance op-amp
• All in a 40-pin 6x6x0.85mm QFN package
11. 軟體架構
• PID Control:
– 8051 Base, C Language, OSAL,
GATT, ATT, Profiles.
– Build & Modified: Service
Profiles, Application, OSAL
Message handling.
Notification/Indication. HAL
(LED & GPIO-Relay & GPIO-
SPI).
– PID Temp Control.
12. 軟體架構
Oven Scan PID Control Heating Chart• Android APP:
– Android, Java.
– Build: Scan Activity,
Oven Control
Activity, Bluetooth
Service. Service
Profiles,
Characteristics,
Descriptors.
Message & UI
handling.
– AChartEngine.lib for
chart plot.
13. 參考文獻
• TI CC2540 HW/SW/Datasheet. BLE-Stack.
• Bluetooth SIG Core v4.0 BLE Documents.
• Google Android Developers web-site.
• GNU C Library. Java Docs.
• MAX6675. Datasheet.
• AChartEngine Library& Sample code.
• Wiki - PID Control.
• SVN.
14. 展望
• Next Step:
– Auto record for analysis and duplicate.
– Recipes with baking curves sharing.
– Video image detection for food baking control.
– Smart recipes sharing website/groups.
– Smart kitchen devices: Microwave oven, Induction
cooker, ..
– Open standard I/O & APIs for DIY aftermarket.