Join us at #embeddedworld 2024 for groundbreaking solutions! This year, we're thrilled to unveil our latest Robust #Edge#AIoT Platform, designed to revolutionize industrial and edge AIoT applications. Get ready for live demos showcasing robotic control powered by our iEP-9020E and iEP-5010G, integrating #AI vision and #robotic capabilities with #UAO#IEC61499 to take open automation to new heights. Moreover, explore our newest Mini PCs featuring Intel® Core™ Ultra Processors, AMD Ryzen™ 8040U Series, and upgraded industrial motherboards with Intel® Core™ 14th Gen Processors.
📆Visit our booth at Hall 2, #2-441, from April 9th to 11th in Nuremberg, Germany.
🔗Redeem your free ticket using voucher code: ew24517985 https://lnkd.in/dmRWPBng
See you there!👋 https://lnkd.in/g-4265g9
#NewProductLaunch Unleash AI power through the NVR Edge server for video analytics solutions! 👉 https://lnkd.in/gzP--wqF
Introducing reServer Industrial, powered by Jetson Orin Nano/Orin NX, a powerful edge Inference server for intelligent video analytics. Upgrade legacy cameras effortlessly with the reServer, which can also perform on-site video analytics tasks, reducing the need for constant human monitoring. Consolidate your analytics requirements and unlock AI capabilities for existing cameras and Video Management Systems (VMS).
Cutting Edge Features:
✅ 5x GbE RJ45(4 for 802.3af PSE )
✅ Supporting multiple 4K streams
✅ 2 Drive Bays for 2.5" SATA HDD/SSD
✅ Pre-installed Jetpack 5.1.1
✅ Fanless design
✅ Estimated shipping September
reServer industrial eliminates the need for a separate power source to connect with IP cameras by delivering 4 PoE PSE ports within 5 GbE RJ45 ports, making it easier to deploy network devices in areas without readily available power outlets. The remaining GbE port is used to connect to a network switch or router, enabling communication with other devices on the network and access to the Internet.
Curious to delve deeper? Explore our detailed datasheet and see how the reServer Industrial layout: https://lnkd.in/eCKV72dsNVIDIA Embedded#videoanalytics#nvidia#jetson#vms#edgeai#edgecomputing#computervision#nvr
Accelerate Your IoT Applications with the AIV-ADS7A1's Built-In AI Capabilities
https://lnkd.in/gBmBphWg
Get a quote✍️✍️
https://lnkd.in/gEWU8s6
Acrosser Technology Co., Ltd. is excited to introduce the AIV-ADS7A1, a rugged and compact industrial-grade edge computer. It is powered by the latest 13th/12th Gen Intel® Core™ i9/i7/i5/i3 socket-type processor, featuring a performance hybrid architecture. This innovative architecture combines Performance-cores and Efficient-cores into a single die, enhanced with Intel® Thread Director. As a result, it delivers exceptional performance for IoT and edge computing applications, with up to 1.36 times faster single-thread performance and up to 1.35 times faster multi-thread performance compared to 10th Gen Intel® Core™ Processors.
The AIV-ADS7A1 is equipped with up to 32 graphics execution units, enabling high parallelization for AI workloads. It also incorporates Intel® Deep Learning Boost (Intel® DL Boost) and the Intel® Distribution of OpenVINO™ toolkit for built-in AI acceleration. This combination achieves remarkable GPU image classification inference performance, with up to 2.81 times faster speeds.
Experience the power and efficiency of the AIV-ADS7A1 for your industrial edge computing needs.
#Accelerate#CANBU#Industrial#AIOT#Intelligence#EDGEAI#invehicle#AI#acceleration
Semiconductor Market Update - 2nd week of 2024
20240108
Nvidia and AMD are expected to ship 1.5 million AI chips from TSMC in 2024
Nvidia new products: B100, GB200
AMD's main AI accelerators: MI300A, MI300X (With the support of TSMC's production capacity, AMD's annual shipment momentum of AI acceleration chips is expected to reach 600,000 units in 2024.)
TSMC: expand its advanced packaging production capacity such as CoWoS
MFG of advanced chip packaging equipment are expected to see shipment momentum increase quarter by quarter in 2024.
Onsemi recently announced the launch of nine new EliteSiC power integrated modules (PIMs) that provide bidirectional charging capabilities for DC ultra-fast electric vehicle (EV) chargers and energy storage systems (ESS). The silicon carbide-based solutions will dramatically improve system cost with higher efficiency and simpler cooling mechanisms that can reduce size by up to 40% and weight by up to 52% compared to traditional silicon-based IGBT solutions. With more compact, lighter charging platforms, designers will have all the key building blocks that are needed to quickly deploy a reliable, efficient and scalable network of DC fast chargers that can charge electric vehicle batteries up to 80% in as little as 15 minutes.
20230109
TI launches new automotive chip to help automakers build smarter, safer cars
The AWR2544 77GHz millimeter-wave radar sensor chip is the industry’s first for satellite radar architectures, enabling higher levels of autonomy by improving sensor fusion and decision-making in ADAS. TI’s new software-programmable driver chips, the DRV3946-Q1 integrated contactor driver and DRV3901-Q1 integrated squib driver for pyro fuses, offer built-in diagnostics and support functional safety for battery management and powertrain systems. TI is demonstrating these new products at the 2024 Consumer Electronics Show (CES).
New Products: AWR2544, DRV3901-Q1 and DRV3946-Q1
Samsung plans to achieve full automation in fabs by 2030
Samsung Electronics has begun developing smart sensing systems aimed at changing the way semiconductor factories operate and increasing output. Samsung aims to have fully unmanned semiconductor production facilities by 2030.
20240110
Nexperia releases new LCD bias power IC to provide high performance for display devices.
Nexperia recently launched a new range of space-saving, high-efficiency, dual-output LCD bias supplies. These devices have been designed to extend the lifetime of thin film transistor liquid crystal display (TFT-LCD) panels used in various applications including smartphones, tablets, virtual reality (VR) headsets, and LCD modules.
#nvidia#amd#tsmc#on#onsemi#ti#texasinstruments#samsung#nexperia#toshiba#murata#globalwafer#sanken#umc#st#stmicroelectronics#infineon
🚀Explore the FSM: GO! A deployable ready-to-go optical sensor module that combines the industry’s most powerful image sensors paired with a perfect lens, allowing you to achieve the best off-the-shelf image quality that is built around you and your specific industry requirements.
FSM:GO is fully supported for the NVIDIA Jetson and NXP Semiconductors i.MX8MP. This compatibility harnesses the power of leading embedded processing platforms to maximize performance.
Whether you are building security solutions, AI enabled sports cameras, surveying & mapping devices, or webcams, the FSM:GO optical sensor modules are deployable across a range of embedded vision systems.
Explore the technical aspects that make FSM:GO stand out, simplifying the process of finding the right solution. 🖇️ https://bit.ly/3HlW5slSony Semicon (EU)Sony Semicon (IL)#FRAMOS#FSMGO#embeddedvision#imaging#sensor#moduleNVIDIA | NXP Semiconductors | NXP Partner Channel
DFI Amplifies AI Capability for the Thriving EV Market and Beyond
At Embedded World 2024, DFI, the world’s leading brand in embedded motherboards and industrial computers, unveiled its groundbreaking EV Charger application, responding to the surge in electric vehicle (EV) usage and the corresponding need for an extensive EV charging infrastructure. Forecasts predict the EV charging station market will hit $12.1 billion by 2030, with an 8.8% CAGR from 2024 to 2030. Powered by the 13th Gen Intel Core i9-13900TE processor and Intel Arc GPU, DFI’s embedded solution enhances AI capabilities at edge in the expanding EV market. #AdvancedTechnology#AIinEVs#AutonomousVehicles#TechInnovationDFIhttps://lnkd.in/eT5UUqiC
Excited to see Renesas RA8M1 product series considered as best MCU under Industrial AI/ML segment category published by electronic products
The RA8 Series MCUs feature the Arm Helium technology and a vector extension for the Armv8-M architecture that increases performance by 4× for DSP and ML implementations versus MCUs based on the Arm Cortex-M7 processor. The Helium will make it easier to implement natural-language processing in voice AI and predictive maintenance applications in edge and endpoint devices, Renesas said.
The MCUs also deliver a 30% increase in scalar performance compared with the Cortex-M7. This enables designers to potentially eliminate additional DSPs in their system designs for some applications.
The RA8 series is packed with security features, including Arm TrustZone technology and Renesas’s advanced Security IP (RSIP-E51A) that provides cryptographic accelerators and supports a true secure boot. Other advanced security features include immutable storage for a strong hardware root of trust, Octal SPI with decryption on the fly, secure authenticated debug, secure factory programming and tamper protection.
#team#india#renesas
Acrosser announced the most advanced rugged-compact industrial-grade edge PC- AIV-ADS7A1
https://lnkd.in/gBmBphWg
Get a quote✍️✍️
https://lnkd.in/gEWU8s6
Acrosser Technology Co., Ltd. is pleased to announce that the AIV-ADS7A1 is a rugged and compact industrial-grade edge computer equipped with the latest 13th /12th Gen Intel® Core™ i9/i7/i5/i3 socket-type processor, featuring a performance hybrid architecture. This architecture combines Performance-cores and Efficient-cores into a single die with Intel® Thread Director, enabling IoT and edge computing use cases with up to 1.36 times faster in single-thread performance and up to 1.35 times faster in multi-thread performance compared to 10th Gen Intel® Core™ Processors. With up to 32 graphics execution units, it allows for a high degree of parallelization for AI workloads, combined with built-in AI acceleration from Intel® Deep Learning Boost (Intel® DL Boost) and the Intel® Distribution of OpenVINO™ toolkit, achieving up to 2.81 times faster GPU image classification inference performance.
#CANBU#Industrial#AIOT#Intelligence#EDGEAI#invehicle#AI#acceleration
Standard practice has been to use general-purpose chips, often paired with third-party algorithms. However, these solutions can be cumbersome, requiring the processing power of a smartphone and additional components like DDR, all managed by a dedicated microcontroller.
Amicro dedicated SoC chips, designed to simplify and enhance the performance of robotic vacuum cleaners. These chips are compact, energy-efficient, and cost-effective, with high computing power that integrates crucial functions like SLAM algorithms and motion control directly onto the chip.
Excited to share update on my latest project: "Adaptive Traffic Control System!" 🚦
In this project, Me and my team (Rameez Murtaza , Murtaza Ali, Muhammad Faizan )is leveraging cutting-edge technology to develop a dynamic traffic management solution. At the heart of the system lies the Arduino Portenta, serving as the master node and scheduler, equipped with a meticulously crafted scheduling algorithm tailored to optimize traffic flow.
One of the key components of the system is the Jetson Nano, which will be seamlessly integrated with cameras positioned at each route approaching the junction. The challenge? Establishing a reliable Wi-Fi connection between the Arduino Portenta and the Jetson Nano.
After experimenting with various NGFF Wi-Fi modules, including the Intel 8275NG and 8260NGW, without success, we embarked on a quest for the ideal solution. Through extensive research, we discovered a discussion on Quora indicating that only the Intel 8265NGW had worked successfully on the Jetson Nano without problems.
Undeterred by the challenge, I took matters into my own hands. Since, I could not find the module in the local market and the online market's delivery time was over a month, I scoured in the junks to try my luck and surprisingly found the 8265NGW module.
In this video demonstration, I showcased the process of upgrading the Jetson Nano by removing its GPU and inserting the Intel 8265NGW module found in the junk (The NGFF port was below the GPU) and connecting the antennas of the repurposed laptop which was just lying there dead in my home.
To my delight, the gamble paid off. With the help of repurposed laptop antennas, I successfully generated Wi-Fi signals from the Jetson Nano, transforming it into a fully functional node (J1010) within the traffic control network. In the last part of the video, it can be observed that a Youtube video with 1080p quality is being run without any buffering which further confirms that there was no bandwidth issue.
This project exemplifies my passion for innovation and problem-solving, as well as my ability to navigate challenges and deliver tangible results. I'm eager to continue pushing the boundaries of technology and making meaningful contributions to the field of traffic management.
Let's drive change together! 🛣️💡
#TrafficManagement#Innovation#Arduino#JetsonNano#Technology"
🆕 AMD unveils Spartan UltraScale+ FPGAs, a leap forward in programmable logic chips for edge computing!
In healthcare, Spartan UltraScale+ FPGAs are revolutionizing life-saving devices like automated defibrillators. With flexible integration, they ensure devices respond swiftly and reliably during critical moments, all while safeguarding patient data with cutting-edge security.
Tailored for cost-sensitive applications, these chips feature high I/O counts, supreme power efficiency, and unparalleled security. 🛡️ Ideal for embedded vision, healthcare, robotics, and more.
Embrace the next generation of edge computing with AMD! 🔒💡
#AMD#SpartanUltraScalePlus#HealthcareInnovation#EdgeComputing