With the sustained and rapid development of China's economy and society, the number of motor vehicles continues to grow rapidly. By the end of 2017, the number of motor vehicles in China had reached 310 million, including 217 million vehicles. At the same time, the number of motorists has also increased at a synchronous rate, with an average annual increase of 24.67 million in the past five years.
As the number of motor vehicles continues to grow rapidly, the number of motorists has also increased substantially simultaneously, with an average annual increase of 24.67 million in the past five years. In 2017, the number of motor vehicle drivers nationwide reached 385 million, and the number of motorists exceeded 342 million. With the rapid growth of car ownership and the rapid growth of drivers, the total number of traffic accidents in China continues to be high. The number of accidents and deaths account for about 70% and 80% of the national total. In these traffic accidents, Accidents caused by fatigue driving and emotional driving are also endless.
According to a new study by the American Automobile Association (AAA), fatigue driving accidents are eight times more than expected. According to CBS, according to federal government statistics, 1% to 2% of accidents are caused by drowsy driving, and in the American Automobile Association's dashboard camera, about 10 out of more than 3,500 bikes. The % crash was caused by sleepiness.
According to a study by Virginia Tech in the United States, driving when you are angry, driving when you are depressed, or getting into a "road anger" is more dangerous than driving a mobile phone while driving. The chance of a car accident is about 5 times that of driving a mobile phone. It is 9.8 for normal driving. Times.
If we can curb the occurrence of these fatigue driving and emotional driving before the accident, we can accurately identify and judge the driver's facial expression and state of consciousness, and contain it before the accident to avoid unpredictable accidents, which can greatly reduce traffic. The occurrence of the accident and casualties. However, in real life, traffic police and road monitoring are generally difficult to identify the driver's state of consciousness. Even if a high-definition camera can capture the driver's awareness at this time, it is impossible to make accurate judgments.
In-car face capture recognition black technology 2018 will go online to reduce the accident rateSuch a car inside the face captures the black technology, which has actually been produced in China.
SPS' AI-SAAS Artificial Intelligence R&D Center focuses on the deep cultivation of artificial intelligence + parking, and is committed to the development of three core technology areas: vehicle identification, automatic control system, and big data deep learning.
The vehicle identification that has been developed so far has reached an accuracy rate of 99.999%, with an error rate of only 1 in 100,000, and can identify more than 420 types of license plates, models, body colors, and interiors and objects. Vehicle accessories, it is expected that more than 1,000 kinds of vehicle accessories will be intelligently identified in 2018. This leading technology has surpassed the identification technology field of smart parking industry and brought a new rising gradient to the identification technology bottleneck of unattended parking lot.
In addition, SPS is currently developing the in-vehicle face intelligent recognition black technology not only breaks the bottleneck of the intelligent parking recognition technology, but also contributes to human safety, public safety and convenient life.
1. Drive safely. When the owner enters and exits the SPS parking lot, he can quickly identify the inside face of the car and judge whether the owner has fatigue driving, drunk driving and emotional abnormality, so as to alert and avoid traffic accidents. It is understood that 90% of vehicle traffic accidents occur due to human factors.
2. Public safety. SPS uses high-definition in-car face recognition technology to effectively determine whether the import and export are the same driver, so that the information can be sent to the owner's mobile phone until the authorization is granted, and the car's anti-theft security is added. Lock. On the other hand, it also assists the security management department to assist the police in identifying suspected fugitives and helping to maintain social stability and harmony.
3. Convenient life. SPS is based on the intelligent identification and deep learning function of artificial intelligence. It can judge whether the vehicle has scratches, whether it is damaged, whether the body is dirty, so as to promptly suggest and recommend nearby service points. In addition, not only the vehicle is identified and judged, Vehicle accessories can also be intelligently identified and judged. The system can judge the consumption behavior of the owner according to the items and placement data on the vehicle, and intelligently recommend according to the needs and preferences of the owner through big data analysis.
SPS AI-SAAS team creates 100% unattended parking and driverless parkingIt is reported that SPS AI-SAAS is a solution based on AI, Internet, Internet of Things and cloud computing to build a smart parking ecosystem. Through unattended parking, big data appreciation, driverless automatic parking, etc. The three major research areas include real-time operating systems, Internet of Things, computer vision, artificial intelligence, deep learning, optical instruments, mechatronics, and automation. It is understood that SPS has revealed the AI-SAAS 3315 plan in early 2018, and will create a revolutionary parking lot such as 100% unattended parking lot and driverless automatic parking lot in the future.
SPS' AI-SAAS team comes from high-tech talents with rich experience in artificial intelligence research and development. The team has gathered a large number of professionals with rich experience and knowledge and skills, including entrepreneurs who have created a new parking system and successfully operated. They have worked for well-known domestic and foreign companies such as Huawei, Rungan, IBI and VCC. 13 years of IT/e-commerce/internet data analysis and marketing experience; 10 years of IT experience, Zhejiang University Master of Engineering, artificial intelligence expert Liao Xingfa; graduated from Northwestern University, Department of Computer Vision and Pattern Recognition, with 10+ years of product development And management work experience, serving Japan's NEC 5 years, the United States Groupon, the United States Google 2 years of Sun Xiaoming, and hundreds of professional artificial intelligence R & D personnel graduated from high-level institutions.
According to SPS official news, the AI-SAAS 3315 plan will be officially announced on March 15, 2018. The technique of capturing face recognition will also be launched in 2018.
Intelligent identification technology is an important turning point in the development of intelligent technology, which means that China's smart technology will take a new height. At this rate of development, perhaps those future scenes that were once only in science fiction movies will be realized in the near future.
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