With the tide of artificial intelligence, the market dividend began to develop in both artificial intelligence and intelligent voice. Having an artificial intelligence chip with optimal performance, power consumption and cost will become the key to AI “energy†application, and also create AI. The core of the explosives. Nowadays, in addition to smart speakers, machine vision applications are emerging in security and other industries. The commercial application of machine vision is beginning to come, and a number of face recognition products based on machine vision are being launched.
In the 16th China International Social Public Safety Expo (referred to as “AMBâ€) held recently, machine vision products for face applications have become the theme of the exhibition. Face grabbing and recognition technologies and products are extremely popular, including Haikang. Fluorite exhibits fluorite C5S wall-mounted Internet cameras, Ai Mi's exhibition of Yunzhi AI cameras, and new products such as Qinglian Internet, Wanjiaan, Wangwang, Weiwei, etc. Deep learning ability, multi-target detection, 1080P resolution, 30 frames of real-time video. The artificial intelligence chip that powers these products comes from Junzheng's first-generation machine vision chip T01.
T01, the beginning of Junzheng machine vision "from 0 to 1"
Based on the development of application requirements of cameras, the resolution is getting larger and larger, the speed requirement of linkage is getting higher and higher, and the computing power of front-end chip is obviously insufficient. Under the bottleneck of this application, although it has been precipitated for many years, it has not seen it. Low-cost landing front-end real-time face recognition camera application.
However, Love Eyes and Fluorite recently released camera products for front-end real-time face recognition, and officially unveiled at the Expo. The product broke the application bottleneck of front-end chip computing power and linkage speed requirements, and was well received by the industry. People are concerned.
Face recognition camera exhibited by the ear and ear at the 16th AMB
Among them, the breakthrough technology innovation comes from Junzheng T01 machine vision chip.
Driving technological change with technological innovation, or "from 0 to 1", is an important part of Junzheng's corporate vision, so it has the origin of T01.
Let's take a look at the basic specifications of T01:
 ★ XBurst CPU
 ★ CV Engine V1.0
 ★ MulTI input/output interface type support
 ★ Host interface
 ★ Typical 700mW
In terms of core performance, the T01 test specifications are as follows:
 ★ Simultaneous detection of multiple objects, supporting simultaneous detection of up to 16 objects
 ★ Multi-target simultaneous detection, support for simultaneous detection of more than 30 targets
 ★ Multi-resolution configuration support, support real-time monitoring up to 1080p resolution
 ★ Common types of data input and output interface support
 ★ 30 frames full real-time detection rate
It is not difficult to find that in the specification of T01, there is neither ISP nor H.264/H.265, and there are not many complicated external interfaces. That's right, the only task of T01 is to complete high-quality target detection.
As the first generation of machine vision chips introduced by Junzheng, XBurst CPU and CV Engine are the core modules. The XBurst CPU naturally inherits from Jun's traditional CPU technology and performs instruction optimization for deep neural networks; the CV Engine is the first generation machine vision ASIC engine.
T01 is very different from the common AP SOC or MCU. This is the first step in the machine vision direction from 0 to 1, and it is also a new beginning on the Junchip chip Roadmap.
Superior performance, clear positioning, and large-scale conditions
T01 multi-object target detection is not limited and can be applied to all industries, not just security. If you want to give priority to a landing direction, it should start from the person, focus on the attributes of people, and develop industrial applications.
For the three types of attribute targets: face, half-length and full-body, the single attribute detection accuracy on T01 is over 97%, and the detection speed reaches 30 people per second and 30 frames simultaneously. In terms of detection distance, the normal distance detection can be up to 30 meters with normal lenses, and the full-body humanoid detection can reach more than 100 meters.
"Support for multi-object hybrid cross-checking, which is the first advantage of T01." Single object detection, if there is a missed detection, nothing can be done. Multi-object cross-detection, different objects complement each other, greatly reducing the probability of overall missed detection.
“The ability to achieve real-time detection and support for precise angle detection is another big advantage of T01.†For face recognition, the ability to capture high-quality positive faces is decisive for face recognition experience. Impact. T01 provides full real-time gripping ability, and can simultaneously analyze the angle of the detected object, so that the product can easily filter a best-quality positive face from a continuous video stream, and then call the cloud recognition to obtain the optimal result. Based on the T01-based speed detection advantage, combined with the human-shaped angle detection and tracking technology, it can greatly deepen and expand the application scenarios, such as the number of people, behavior analysis and so on.
It is precisely because of these unique capabilities of T01 that it provides the basis for innovation for partners such as Aurora and Fluorite. So how do partners make innovations based on T01? We know that in the design and application of electronic products, it is necessary to invest a lot of human resources and time to build a brand-new product. Based on the continuous improvement of mature products, it is more pragmatic to run small steps. T01 is a combination of this approach, in the form of a coprocessor, easy to add, easy to integrate, greatly reducing the engineering complexity and various burdens brought by functional innovation to product development.
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