For best result, watch this video on you VR Headset, either cheap Google Cardboard with your phone or your all in one VR headset! This 360 video is the part1 filmed at the ARM Techcon 2016 tradeshow.
Filmed using the Shuoying 1080p dual-lens Panoview camera, see my Interviews and my Factory Tour at the Shuoying category here.
The HardKernal ODroid-C2 is a board that outputs native 4K resolution over HDMI 2.0. It uses 4x ARM Cortex-A53 cores at 1.5GHz (Mali-450 GPU) coupled with 2GB DDR3 RAM. Upto 128GB eMMC HS400 and 200GB UHS-1 microSD cards are supported simultaneously. A Gigabit Ethernet port as well as 4USB Host and 1 USB OTG ports are present. The demo setup consists of a 4K TV playing 4K videos while using Ubuntu OS with MATE desktop environment. The board costs US$41.95 without the recommended eMMC memory.
An application engineer from NXP demonstrates here their S32V234 automotive-grade image recognition processor that is meant to be used in autonomous self-driving vehicle applications. The board uses 4 Cortex-A53 cores , and an "Apex" signal processor that allows the image to be split into parts and processed on with algorithms in addition to an ISP for filtering. The demonstration is a camera feed processed to show object tracking, with relative motion speed and direction indicated. The board is also meant to recognize traffic signals , and supports 4 cameras with specific framerates for 360° vision processing.
MultiTech is an IoT company that has on display here their solutions for smart agriculture. The setup uses LoRaWAN for data transmissions (frequencies range from 700MHz in China to 915MHz in Europe) with a conduit that contains the gateway. The conduit can be IP67 water and dust proof certified in order to be installed on a rooftop. The 15km range is valid for line-of-sight only. Battery life can vary depending on the amount of data transmitted, with a one-day transmission device lasting for as long as 15 years.The demo setup consists of a sensor submerged in the ground to detect water, with data transmitted to the conduit/gateway.
Interview with Jem Davies at ARM Techcon 2016, after his keynote (see here) he talks about the upcoming development at ARM in the field of Computer Vision, after the acquisition by ARM of Apical, adding their ISP technology, local tone-mapping Display Engine to fit inside Mali's Display Processor, and the Computer Vision does object recognition in a fixed function dedicated engine. The Computer Vision engine is configurable to recognize people, objects, places, enabling a new visual level of smart technology.
You can also see the official video of his keynote here:
Watch here below Greg Yreic's Keynote full video titled: Moore's Law: Where are we and which way are we going? | ARM TechCon 2016
The doubling of transistor density every 18 months has been an exponential greater than any experienced in the human endeavor. But, as we know, the pace is slowing, creating uncertainty for our industry but also opportunity. Yeric will explore innovation from the transistor to the system level, and he sees the opportunity to not only continue effective transistor scaling, but to create exciting new products along the way.
About the speaker: Greg Yeric began his career at Motorola's Advanced Products Research and Development Laboratories in the area of semiconductor process integration, subsequently working at TestChip Technologies, HPL Technologies, and Synopsys, in the areas of test structures, technology development, and yield analysis. For the last 8 years, Dr. Yeric has been with ARM Holdings in Austin, Texas, where he leads the Future Silicon Technology group within ARM Research. His group's activities include novel technology incubation, design technology co-optimization and predictive technology. He earned PhD in Microelectronics at The University of Texas at Austin in 1993.
Also re-watch below my Interview with Greg Yeric:
STMicroelectronics has on display their ARM Cortex-M7. The H7 is the successor to the F7. The H7 uses 40nm process node over 90nm for the F7, allowing for a higher 400MHz clock speed (compared to 200MHz). The demo setup is running a fractal program and has UARC, Ethernet and several display outputs. The faster speeds allows for graphics processing that earlier needed Cortex-A cores, with audio applications possible as well.
NXP here is displaying their development system for Apple HomeKit. It consists of an RGB LED lightbulb being controlled through the setup using Bluetooth LE, with Siri integration. It uses an ARM Cortex-M4 CPU. Also on display is a Point-of-Sale kit (SLN POS RDR). Lastly we see NXP's modular IoT gateway that supports Zigbee, WiFi, Ethernet, and NFC.
Arizona-based Technologic Systems makes boards for embedded applications using ARM CPUs and Linux support packages. Their field applications engineer displays a range of boards with Marvell, NXP, FreeScale Semiconductor, and Cavium processors. Their BAT12 system on display is meant to provide power backup for a few hours in case of loss. They also display their range of LCD monitors with full computers built onto the back of them.
Minix is a Hong Kong-based set top box manufacturer that has on display their entire range here. The bestselling model uses an RK3188 CPU (quad-core Cortex-A9) with an Ethernet port, 1GB RAM and 16GB of NAND flash. The X7 and X7 mini, their most mature platform, is used by companies to use their own software which is then sold to end consumers utilising digital signage. The S905 uses a 64-bit CPU, and supports 30fps 4K video. There is also a model with a 3G/4G SIM card and a PCI-E port for adding faster wireless cards or SSDs.