Cerevo is a company that was founded in 2008 that specializes in niche IOT products. Cerevo adds shoes to the virtual reality experience. The Shoes enable easier movement with VR applications. The shoes also enable a more tactile experience and can send sensations to your feet. The VR shoes should range from $800-$1200. The Cerevo Tipron projector is a Robot with a built in projector that moves around on wheals. The Projector robot costs $2299 and offers a display size of up to 80" with 1280x720 resolution. The lumigent is a robotic voice activated desk lamp. Lumigent technology is integrated into other devices such as cameras, bicycles and other IOT applications.
The Motorola Pocketglass C200 is a monocular AR smartglass that is connected to a smartphone via a large pocket unit. The smartglass outputs AR content from the smartphone to your eyes with the Smartglass using a miniature projector. The price is expected to be $1000.
The Hungarian Robot Builders association is a club of people which builds and designs robots. The association has all the Top robot builders and designers in Hungary. The association designs and builds robots for competitions throughout Europe. Raspberry Pi's and Arduinos are their favored boards.
Screenly is a London based company. Screenly technology enables interaction between smartphones and consumer devices inside of stores using NFC technology. When an NFC smartphone is placed on a tag an experience appears on the screen. The technology utilizes NFC, Raspberry PI and Ubuntu Core. Screenly can be remotely managed from the web. The services costs around with $995 per screen per month with lower prices for higher volumes.
Daqri is a company which produces information technology for industrial uses. The Daqri Smart Helmet is a VR/AR helmet for industrial applications that uses 360-degree navigation cameras to analyze environments. Augmented reality can provide detailed information about work that is going on at a glance. The Smart helmet runs Ubuntu Linux and is based upon an Intel Core M7 processor, Intel realsense cameras, and offers 720p projection for each eye.
C3Nano makes silver nanowire (AgNW) transparent conductors using their Nanoglue technology. These are used in flexible touch screens for phones, wearables etc. C3Nano is a spinoff from Stanford University. This interview was conducted by Sri Peruvemba at their Headquarters in the Silicon Valley, with Dr Ajay Virkar, Co-founder of C3Nano, they got into the details of what they are claiming as the best transparent in the market. Andrew Moon, Product Manager and Yadong Cao, Applications Engineer demonstrated the various products featuring C3Nano. Their newly released Onyx product is aiming to replace ITO in touch screens, in OLED displays, in solar panels as well as biotech applications. The company’s investors and customers include Nissha, Hitachi Chemicals, Nagase and many others.
ARM Innovation Ecosystem Accelerator (“ARM Accelerator”) is an international global startup accelerator recruitment network in Mainland China, UK, U.S, Israel, Canada, France, Hong Kong, and Taiwan area, helping startups accelerate development in areas such as VR/AR, Robotics/AI, Smart Car, Smart Healthcare, Smart Home, Smart City. ARM Accelerator is an innovation and acceleration platform featured among ARM's ecosystem. ARM Accelerator focuses on smart hardware and IoT ecosystem. The core advantage of ARM Accelerator is to create an one-stop platform for China and overseas startups and integrates the world-leading IC design companies and scarce, high-value labs to provide the customers all kinds of incubation and acceleration services, such as professional technology consulting, design service, and global promotion and investment matchmaking.
OSVehicle presents a Modular Open Source Electric Car Platform to Save millions in car platform R&D. Design, prototype and building next electric vehicles using a modular open source electric car platform. Here OSVehicle is demonstrated on the Renault Twizy which I first video-blogged 5 years ago here.
Nvidia DRIVE PX Pegasus board for self-driving cars has 2 Octa-core ARM SoCs with 512-core CUDA GPU and 2 discreet GPUs for a total of 320 Billion calculations per second
Nvidia DRIVE PX Pegasus board is launched for self-driving cars which includes two ARM SoCs each feature Octa-core Nvidia Xavier Custom ARM processors with Volta 512-core CUDA GPU which supports up to 8K video encode and decode, 7Billion transistors each ARM SoC built on TSMC 16nm FinFET+ with also two next-generation discrete GPUs separately on the board with hardware created for accelerating deep learning and computer vision algorithms, the 4 chips on the board can compute 320 Billion calculations per second with an overall 1TB per second memory bandwidth.