2016 Intel Asia Innovation Summit
A showcase of Technology and Innovation
TAIPEI, Nov. 16-17, 2016 –At the 2016 Intel Asia Innovation Summit, scholars, R&D professionals, government representatives, industry leaders, and youth innovators invited by Intel from across Asia will exchange ideas and explore possibilities of collaborating for technology and innovation among youth. The summit will also showcase the cutting-edge technologies developed by Intel as well as ecosystem partners.
This year, to communicate and to showcase the new demands on technologies and skill building among youth in the era of the fourth industrial revolution, the summit gathers representatives from India, Indonesia, China, Singapore, South Korea, and Taiwan. The two-day summit includes keynote speeches, panels, various technology tracks and a showcase zone, focused on machine learning, augmented-learning, the Internet of Things (IoT), Field Programmable Gate Array (FPGA), and 5G.
The Intel Showcase Zone will demonstrate innovation from Intel Labs, NTU IoX Center, academia, business partners, research communities, and youth innovators including the Intel® Euclid™ Developer Kit for robotics, Trusted Vehicle of 2020, Cognitive Linguistic Platform Services built for Neuro-Linguistic Programming (NLP), Internet of Robots in the Age of Cloud and how to use a drone-enhanced human augmentation system to learn Tai-Chi-Chuan (TCC).
NTU IoX Center
In 2011, Intel, the Ministry of Science and Technology (MOST), and National Taiwan University (NTU) established the Intel-NTU Connected Context Computing Center to focus on advanced IoT technology development that can help improve the quality of life and inspire future technology development. With its commitment to Open IP, the Center has launched five open source solutions while continuing to provide development kits to different vertical IoT markets.
Extending the co-operation to include Delta Electronics* and Advantech* in order to bring in more innovation and industry best practices, the Intel-NTU Connected Context Computing Center is being renamed as the NTU IoX Center. IoX means Internet of Everything and the NTU IoX Center will not only continue to focus on the “things” in IoT but also hopes to strengthen the collaboration between the “things” and “humans” in the post IoT era by focusing on Augmented Collective Beings (ACBs). ACBs enable super-sensing, super-cognitive, and super-communicative abilities of humans and adjust such abilities by age, helping humans naturally and seamlessly blend themselves into the “things” of IoT to enjoy the comfort and convenience resulting from technology advances.
The core ACB technology will help design and implement a human augmentation platform that will allow seamless integration of personal interface hardware and software for human augmentation. The proposed research explores fusion points on and off the human body, from head to toe, where personal sensing and cognition enhancements can naturally connect and interface with human biology. The ACB research scope includes sensory devices, data processing, personal interface technologies in order to enhance sensing and interaction beyond what could be perceived, interpreted and actuated.
Intel Demo Showcase
Intel® Euclid™ Development Kit
Intel® Euclid™ is an all-in-one development kit for robotics which includes compute, sensing, and communication in a device the size of a candy bar. The device brings an enjoyable developer experience to robotics developers. The device runs Ubuntu™, ROS (Robot Operating System) and a software stack that enables the developer to use the device out of the box. You can connect and use the device from any other device with WiFi and a browser without installing any other software.
Intel® RealSense™ Camera Skin Segmentation
Can cameras tell if there is a real human in front of a camera? Traditionally, skin color histogram, face detection, and 3D imaging techniques have been used for this tricky problem in computer vision, because of variations of skin tones and lighting conditions. Intel® RealSense™ Skin Segmentation solves this problem by using the built-in IR emitter and light-weight image processing techniques. This technique is extreme robust (<5ms on standard laptop, <1ms on most desktops) to detect real skin area when the emitted IR pattern is visible by the camera. The limitation is that this technique is relying on visible IR pattern and also picks up objects that have similar surface properties with skin such as fruits or other organic materials.
Cognitive Linguistic Information Platform
With proliferation in cognitive computing applications, there is a growing need for systems to consume and process audio and text signals for various content and context understanding tasks. Cognitive Linguistic Platform can decipher emotions, topics and intents in informal texts or dialogue. Our platform has the ability to extract valence in tone, detect stress and various emotions in the message. For intent extraction, our system extracts intent predicates along with relevant arguments such as subject, object, time and location of intent. We apply statistical machine learning with an advanced NLP pipeline to create various models for these different linguistic tasks.
Trusted Vehicle of 2020 – Bumper-to-Bumper Integrity Verification for Connected Cars
Today’s vehicles are computers on wheels. Dozens of microcontroller are interconnected to operate the vehicle. Due to a shift towards connected cars, cars can now be hacked locally and remotely.
Intel has collaborated with a car manufacturer to demonstrate a car security concept with increased assurance. Using hardware security, we can validate the integrity of all local components and also upload an integrity report to the manufacturer. The manufacturer can then validate that the vehicle is in the expected state. This allows the manufacturer to detect and patch vulnerabilities that emerge during the operation in the field.
IoT Cloud Smart Home
The Internet of Things consists of interconnecting devices, sensors, actuators, etc. where simple objects are interconnected to exchange data and collaborate to provide advanced services. An even greater revolution is possible by connecting these locally-connected devices to cloud servers.
The Intel Open Source Technology Center contributes several open source projects, including IoTivity, OpenStack ®, Yocto, Zephyr™ operating systems, etc. are key ingredients for developing IoT products. This demo is based on Intel’s IoT device and sensor management application and service management framework , and will show how the IoT Smart Home with the cloud can enable rapid deployment and scaling of multiple IoT devices and cloud based applications with local and big data analytics on Intel platforms.
Youth Innovation: Internet of Robots in the Age of Cloud
Robotic surveillance can perform tasks repeatedly with less errors, collect large volume of relevant data for analysis and provide a greater network of omnipresent security in a region. To set up a group of robots for scene surveillance in order to identify important parts of a scene to perform object, each robot equipped with sensors for visual processing, manual control by a remote operator, information sharing amongst them for location and other data and 3D scanning by using Intel® RealSense™ camera.
Youth Innovation: Genius Arm
Genius Arm is an exploration robot controlled by electromyographic signal, using surface electromyogram technology to control the robot chassis and controlling the robot arm though motion capture technology. Moreover, equipped with laser radar and SLAM algorithm, the robot is capable of reconstructing surroundings` map and positioning itself. Genius Arm can demonstrate itself in exploration, security examination and geometry gauging.
Augmented-Learning of Tai-Chi– A Drone-Enhanced Approach
Tai-Chi-Chuan (TCC) is a famous physical exercise, and is well-known for being able to effectively promote both physical and moral well-being. Many people have been interested in learning it at the beginning, but eventually turned out to fail in mastering it due to the lack of a constantly accompanying master on the side. With the advance of human augmentation technologies, it is now possible for people to have their own private coaches-on-demand to help them practicing and mastering this wholesome exercise, and hence to gain the most benefit for health and well-being. In this demo, a drone-enhanced human augmentation system for learning TCC is presented. By wearing an optical see-through head-mounted display, the user can see eight virtual coaches standing on eight different directions and playing TCC at the speed selected by the user. The user can then mimic the movement of the coaches to learn each movement of TCC sequentially. To help the user adjust his posture via comparing with that of the virtual coach, a drone is used to capture images of the user’s pose, which are then shown in a software mirror augmented in front of the user and beside the virtual coach. Try it yourself!
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