On January 2, 2019, we officially launched the AI open platform, free open FACE recognition and liveness detection SDK. Today, we want to tell you that not only is the software open, we also offer AI hardware development platform -pcDuino9 AI visual edge computing suite.
Many people wonder why we choose to open up algorithms and launch AI hardware development platforms at a time when unicorns in the field of vision are scrambling for market share and implementing products and solutions. In the course of its development, Oculus has been asked on many different occasions “is there any pressure to compete with the current unicorn companies in the vision field?” Pressure is certainly there, there is pressure to have power. But strictly speaking, these unicorns are neither our competitors nor our competitors. Our focus has always been on the iot +AI open platform. We want to build a platform that can shorten the time to innovate and create products. To point with the surface, to help and cultivate more grassroots entrepreneurs!
PcDuino is one of the most popular open source hardware platforms in the world. It cultivates and incubates countless high-tech products, allowing eastern engineers and western creativity to meet, breed and produce results here. And this popular worldwide open source software and hardware combination platform pcDuino is the predecessor of Shenmo Technology Liancipu (LinkSprite) created. From open source hardware to computer vision, no one knows what we’ve been through, but as a maker, as a startup, we’ve never forgotten where we started.
We rely on Carnegie Mellon University’s nearly 30 years of accumulation in the field of visual identification, in the field of computer vision technology research and development breakthroughs, technology precipitation. At present, we have made great breakthroughs in two specific recognition scenes: one is occlusion face restoration, the other is blurred face restoration. We’ve also built a massive database of 80 million faces and gestures, both eastern and western. Only with such a strong technical foundation can we provide strong technical support for the AI software and hardware development platform we are going to build.
For now the threshold of the artificial intelligence technology is relatively high, such as in facial recognition technology, although big companies set up a platform, simple recognition in image, but in the process of application, the effect is not very ideal, we found there is a big problem, the real technology, not only requires the development of software technology, Hardware development platform support is also required. We were engaged in open source hardware and the Internet of Things. Open source hardware can promote hardware modularization, standardization and interface, lower the threshold of the hardware field, enable more people to participate, and bring a lot of creativity. We combine open source hardware and artificial intelligence, and will build a software and hardware development platform in the future. On the one hand, it is convenient for our partners to acquire technology from the platform, so as to facilitate commercial landing, and our product strategy will be developed along this road. On the other hand, we also open AI algorithms and hardware to makers, developers and grassroots entrepreneurs, while lowering the threshold of AI technology and hardware development, so that they can freely develop AI applications and realize AI ideas. Promote the application of artificial intelligence technology.
PcDuino9 AI Visual edge computing Development kit is the first AI development hardware platform launched by Shenmok. This kit includes the common IPC using hi3516D scheme and pcDuino9 embedded AI visual edge computing module. The kit mainly uses pcDuino9 embedded AI visual edge computing module to process the video stream obtained from hi3516D and perform a series of analysis on the video stream. The kit builds a basic development environment for developers, providing video frames obtained from hi3516D by pcDuino9. Developers can freely realize various picture development on the frame, such as face detection, license plate detection, object detection and other AI image analysis and processing functions. At the same time, it provides an open API interface. Developers can send the information processed on pcDuino9 back to hi3516D, and delete and select the detected images on hi3516D, and then output them through FTP.