Distributed Architecture Puts the ‘Reality’ in AR

发布时间:2023-01-10 17:40
作者:Ameya360
来源:网络
阅读量:1408

  For the last 40 years, the evolutionary path for chipsets for mobile electronics has inexorably been headed toward increasing levels of functional integration, culminating in the system-on-chip (SoC) architecture. 

      Sometimes monolithically integrated and at other times achieved through advanced packaging, mobile SoCs incorporate multiple functions — including, but not limited to, the baseband, applications processor, RF transceiver, WLAN (i.e., Wi-Fi) and WPAN (i.e., Bluetooth) communications — into a single chip or package. Such an architecture is ideal for the thin but powerful form factors that ultimately embody modern cellphones. However, as we go beyond the smartphone to a whole new augmented-reality (AR) world — some call this the metaverse — through the portal of AR glasses, the SoC architecture is proving to be more of a hindrance than an enabler.

Distributed Architecture Puts the ‘Reality’ in AR

  To turn the vision (pun intended) of AR glasses into reality, designs need to not only achieve mass-market adoption but must also be able to be worn on an everyday basis — as part of the wearer’s daily attire. In order to achieve this, glasses are required to be more streamlined than smartphones. They also need to enable fashionable form factors. Additionally, to minimize wearer fatigue, they not only have to be as light as possible but also be more balanced in terms of weight distribution to keep from having one side of the glasses be heavier than the other.

  Past and current designs have typically located the electronics in the temple, or arms, of the glasses, and this continues to be a logical place. However, mobile SoCs do not lend themselves to addressing the challenges above, given their die and package size and the fact that being a single chip does not allow for any sort of weight distribution other than potentially adding more bulky components like batteries on the other arm.

  At this year’s Snapdragon Summit, Qualcomm announced a departure from the SoC evolutionary path that could potentially bring AR glasses to reality. Reversing the trend, Qualcomm proposed a distributed architecture approach not only for the electronics inside the glasses but also between the glasses and a host device like a smartphone or PC distributing some of the heavy lifting for both cellular communications and some of the graphics processing.

  On the second day of the Snapdragon Summit, Qualcomm announced the new Snapdragon AR2 Gen 1 platform. The platform breaks up the various silicon blocks into three modules that are spaced around the glasses, which enables designs that are more streamlined and balanced. The modules include an AR processor, an AR co-processor and a Wi-Fi connectivity module.

  As announced, the AR processor will be responsible for typical GPU-type functions like image/video capture, computer vision and display driving but doing so in a hardware-accelerated fashion by incorporating ISP, Adreno Video, Adreno Display and visual analytics engine IP blocks.

  Meanwhile, the AR co-processor will be focused on providing AI acceleration, as well as aggregating sensor and camera data for tasks like eye tracking, object detection and biometric authentication.

  Last but not least, the connectivity module will of course be responsible for the high-speed, low-latency communications needed to make the distributed architecture viable. What might not be as obvious is the module’s use of Qualcomm’s FastConnect XR 2.0 software suite, which the company is touting as enabling a 40% reduction in power compared with previous versions while delivering the required performance.


(备注:文章来源于网络,信息仅供参考,不代表本网站观点,如有侵权请联系删除!)

在线留言询价

相关阅读
AMEYA360:Arm’s Gambit Could Rattle Relationships
  In anticipation of one of the biggest IPOs of the year, Arm is changing its licensing model and developing its own mobile processors — moves that are being contested by some of its biggest customers and device makers and will dramatically shift market dynamics and the supply chain.Arm’s Gambit Could Rattle Relationships.  Almost all smartphone and tablet vendors currently use Arm-based processors for their devices, purchasing them from Qualcomm, MediaTek, Samsung, and HiSilicon. Currently Arm collects a licensing fee for each chip manufactured.  Instead of licensing its technology to semiconductor companies such as Qualcomm and MediaTek, collecting around 1 percent to 2 percent of the chips’ selling price, Arm wants to collect a percentage of the devices’ average retail value. According to some sources, Softbank and Arm are trying to collect a substantial share of the revenues of mobile device vendors.  Arm’s clout in the mobile market is considerable. Last month, Arm’s owner Softbank released its 2023 financial report highlighting the increase of Arm’s technology adoption across the entire computing ecosystem, including mobile, gaming, automotive, and billions of microcontrollers.  At the same time, Softbank’s financial report acknowledged that a principal risk to Arm’s business was the “significant concentration” in its customer base. In 2022, 86 percent of its revenue came from the company’s 20 biggest customers, so “the loss of a small number of key customers could significantly impact the group’s growth.”
2023-04-25 11:22 阅读量:1636
NVIDIA Jetson AGX Xavier module targets next-gen autonomous machines
  Nvidia has announced the launch of the Jetson AGX Xavier module, the latest addition to the company’s Jetson TX2 and TX1 family of products.  According to the company, developers will be able to use the module to build autonomous machines – from delivery robots to manufacturing robots that collaborate with humans.  The Jetson AGX Xavier module can serve as the powerful brain behind any robot and deliver the performance of a workstation server in a computer that fits in the palm of a hand.  Consuming as little as 10 watts, the module will enable companies to go into volume production with applications developed on the Jetson AGX Xavier developer kit, bringing next-generation robots and other autonomous machines to market more quickly.  The module has been designed to leverage NVIDIA’s AI platform, which is used for numerous AI applications. This includes a complete set of tools and workflows to help developers quickly train and deploy neural networks.  It supports applications developed with the JetPack and DeepStream software development kits. JetPack is NVIDIA’s SDK for autonomous machines and includes support for AI, computer vision, multimedia and more.  The DeepStream SDK for Jetson AGX Xavier enables streaming analytics, bringing AI to IoT and smart city applications. Developers can build multi-camera and multi-sensor applications to detect and identify objects of interest, such as vehicles, pedestrians and cyclists.  These SDKs save developers and companies time and money, while making it easier to add new features and functionality to machines to improve performance.  With this combination of new hardware and software, it’s now possible to deploy AI-powered robots, drones, intelligent video analytics applications and other intelligent devices at scale.  The Jetson AGX Xavier module brings accelerated computing capability to the Jetson family, which includes solutions at different performance levels and prices to suit a variety of autonomous robotic applications.  The Jetson TX2 embedded module for edge AI applications now comes in three versions: Jetson TX2, Jetson TX2i and the newly available, lower cost Jetson TX2 4GB. Jetson TX1-based products can migrate to the more powerful Jetson TX2 4GB at the same price.  NVIDIA developer kits are also available for each member of the Jetson family. With these kits, companies can create and deploy multiple applications for a variety of use cases, using one unified software architecture.
2019-01-03 00:00 阅读量:5970
Plessey to demonstrate AR/VR glasses powered by microLEDs at CES
  Next month's CES in Las Vegas will see Plessey demonstrate the first AR and VR glasses powered by microLEDs.  The next generation of Vuzix smart glasses will be demonstrated using technology that ditches OLEDs in favour of microLED displays. Vuzix is the first company to present Plessey’s microLEDs in action for AR applications.  Plessey says that its microLEDs offer 10 times the resolution, 100 times the contrast ratio, and up to 1,000 times the luminance of traditional OLEDs. This has been achieved by using just half the power consumption, doubling battery life in portable headsets.  These benefits have been recognised by the Consumer Technology Association (CTA), owner and producer of CES, which has named Plessey a CES 2019 Innovation Awards Honoree in the Embedded Technologies category.  Commenting Mike Lee, President of Corporate and Business Development at Plessey, said: “We’re looking forward to previewing the AR, VR and head-up display experience that microLEDs are set to create at CES. Compared with all other display technologies, microLEDs are brighter, smaller, lighter, more energy-efficient, and have a longer operating life.”  Plessey microLEDs are developed using a scalable and economical, repeatable GaN-on-Silicon monolithic process that guarantees uniformly high quality and performance. This pioneering process has succeeded in eliminating the problems associated with the pick-an-place microLED display manufacturing techniques currently being used by other companies.  According to Plessey, microLEDs are also about to have a huge impact on the design of pico- and micro-projectors. Here, microLED illuminators enable the form factor to be cut by 40% and optical efficiency boosted by 50%. The projects not only become smaller and lighter but they need less battery power and deliver higher quality images in every respect: brightness, resolution and contrast ratio. DMD (including DLP) and LCOS technologies are about to go the way of the cathode ray tube.  Other demonstrations on the Plessey booth will include a 0.7 inch 1080p microLED comprising separate red, green and blue panels, and an addressable blue 0.7 inch microLED display running 1080p video.
2019-01-03 00:00 阅读量:6726
China could surpass the US in artificial intelligence tech. Here's how
Artificial intelligence has the potential to transform many industries: Cars that drive themselves, facial recognition that enhances security, or systems that could detect cancer better than a doctor.In fact, global GDP is set to increase by 14 percent because of AI, according to PwC. The tech's deployment in the decade ahead will add $15.7 trillion to global GDP, with Chinapredicted to take $7 trillion and North America $3.7 trillion, according to the multinational company."Data is the new oil, so China is the new Saudi Arabia," Kai-Fu Lee, venture capitalist and author of "AI Superpowers: China, Silicon Valley, and the New World Order," told CNBC's "Squawk Box.""If you measure by research — basic research papers published, excellence of research — U.S. is and will be ahead for the next decade," he said. "But if you measure by value created, how much market capitalization, how many users, how much revenue, China probably is already ahead."Lee said AI could replace 40 to 50 percent of all jobs in the U.S. in the next 15 years.China's development planAI development reached a symbolic moment in May 2017 during a match of Go, considered to be the world's most complex game.Ke Jie, a Chinese player known as the world's best, competed against a program from Google parent company Alphabet in a three-game match. The young pro lost all three games.Less than two month after the defeat, China's central government announced its ambitious plans to build its AI capabilities, where it aims to create "a next generation artificial intelligence development plan."The plan is broken up into three benchmarks: Keep pace with AI technologies by 2020, achieve AI breakthroughs by 2025, and to actually be the world leader in AI by 2030.In 2017, Chinese venture capital investors poured record sums of money into AI — making up 48 percent of all AI venture funding globally.Chinese start-ups raised $4.9 billion in 2017 made up of just 19 investments, while their U.S. counterparts raised $4.4 billion from 155 investments.Some critics have said, however, that the sector is over-invested and they've expressed skepticism about the industry's ability to monetize.Data and regulationChina has several advantages when it comes to the artificial intelligence field, but chief among them is Chinese companies' access to troves of data."(China has) done a fantastic job of moving its economy to cashless and when you can pay with everything with your phone, you amass a huge amount of data," author and columnist Thomas Friedman told CNBC."When you can get these giant data sets, and then apply artificial intelligence to them," he said. "You're going to see better and better and more deep insight patterns than anyone else and I think it'll be a great advantage for China."On top of that, China doesn't have the same restrictive privacy laws as many other countries, making it easier for companies to collect data. Its government buys technologies to capture unprecedented amounts of information on its citizens.The talent raceStill, China is not yet the dominant force in the world of AI."The innovation is still coming from the U.S. and that's thanks to, obviously, a huge network of universities that are fed by the world's greatest talent — not just Chinese engineers coming to the U.S., and computer scientists, but also from India and everywhere else," Ben Harburg, managing partner at MSA Capital, told CNBC at the East Tech West conference last month. "That advantage, for the next few years at least, stays with the U.S."Still, Harburg noted China's large data sets, and the country's large number of graduates in STEM fields."China will be where you monetize and, by nature of the beast, eventually they will start to innovate far beyond the U.S. — but a couple years away," he added.Meanwhile, Friedman said the race in AI could potentially come down to politics. More specifically, U.S. President Donald Trump's stance on immigration."What really drove our economy forward, what drives any economy, is that we had a higher percentage than any other country of high-IQ risk takers ... people who start new companies, and new businesses, and create new medical and new engineering breakthroughs," he said. "Trump basically has put out a sign in our front yard that says, 'Get off my lawn.'
2018-12-19 00:00 阅读量:2176
  • 一周热料
  • 紧缺物料秒杀
型号 品牌 询价
MC33074DR2G onsemi
BD71847AMWV-E2 ROHM Semiconductor
CDZVT2R20B ROHM Semiconductor
RB751G-40T2R ROHM Semiconductor
TL431ACLPR Texas Instruments
型号 品牌 抢购
IPZ40N04S5L4R8ATMA1 Infineon Technologies
BP3621 ROHM Semiconductor
TPS63050YFFR Texas Instruments
STM32F429IGT6 STMicroelectronics
ESR03EZPJ151 ROHM Semiconductor
BU33JA2MNVX-CTL ROHM Semiconductor
热门标签
ROHM
Aavid
Averlogic
开发板
SUSUMU
NXP
PCB
传感器
半导体
相关百科
关于我们
AMEYA360微信服务号 AMEYA360微信服务号
AMEYA360商城(www.ameya360.com)上线于2011年,现 有超过3500家优质供应商,收录600万种产品型号数据,100 多万种元器件库存可供选购,产品覆盖MCU+存储器+电源芯 片+IGBT+MOS管+运放+射频蓝牙+传感器+电阻电容电感+ 连接器等多个领域,平台主营业务涵盖电子元器件现货销售、 BOM配单及提供产品配套资料等,为广大客户提供一站式购 销服务。