From the birth of the Alpha dog to the "female" robot Sophia to obtain citizenship, then to the "speaking people" future intelligent assistant, "1 second 8000 posters" Luban designer, and the unmanned driving in Beijing ......
Whether you believe it or not, artificial intelligence has become an irrefutable part of our lives and will enter the lives of each of us in the next 5-10 years, like water and air, bringing personal, business and social prosperity. Sexual change.
In the future, how will artificial intelligence change our life? What are the current development stages, which technologies are most widely used, and which industrial applications and changes will bring, and what challenges will it bring to people? As a leading company in the field of artificial intelligence that has been deployed in the field of artificial intelligence for nearly ten years, Jieshun Technology will share the research results of the company in the field of AI and the application of current AI technology from this issue, and explore the possible possible wave of artificial intelligence. Shock and thinking.
In this issue, we will cover the face recognition of AI technology application, guest guest Jieshun AI big coffee Terry.
Data determines recognition accuracy
Face recognition is one of the most widely used techniques in artificial intelligence, including face detection, face feature extraction, and face matching.
The face feature extraction model needs to be trained by a large amount of data combined with super-calculation to obtain a better face feature model. This part is very important. A good model directly determines the accuracy of face recognition, and a good model depends on A large number of data samples.
At present, face recognition products have been widely used in airports, banks, public anes, hotels, shopping malls, medical care, schools and other fields, and are mainly used in human witness comparison, channel, access control, attendance, payment, VIP management, etc. Gradually accept this application because it is non-contact, convenient, and reliable, but there is also a risk of personal information disclosure.
In the future, face recognition will develop in the direction of anti-counterfeiting, three-dimensional, more environmental adaptability, high performance, and high speed. But it also faces some technical bottlenecks, such as twin identification, light interference, beauty makeup, occlusion, low-resolution recognition, large-capacity comparison search, and other technical breakthroughs.
Face recognition gives the eyes of the product wisdom
Research on face recognition has been very active at home and abroad. The main domestic players are contempt, Shang Tang, Yitu, Youtu, Yuntian Lifei, etc. Their products are mainly used in public andata and financial fields, and are gradually turning to civilian use. In the past year or so, a number of face recognition companies have emerged, mixed and uneven, and low-end solutions continue to emerge, the cost is getting lower and lower, the recognition effect is difficult to guarantee, and subsequent maintenance and upgrades are difficult to keep up.
The application prospects of the industry are optimistic. Behind the arrogance of hundreds of flowers, the importance of face recognition technology to the existing industry and enterprise development cannot be ignored. It can be said that it gives intelligent eyes to enterprise products, such as license plate recognition and face recognition in parking areas. It also plugged the wings of the company for the transformation and upgrading of the enterprise.
Jieshun has started research and development of face recognition a few years ago. At present, it has a number of technical specialties on face recognition, data training, etc., and has also launched infrared face recognition and visible light face. Identification products, integrated channel gates, face recognition visitor machines, face recognition control machines, and human witness comparison products are typical applications of Z-popular deep learning technology.
After several years of exploration and development, the company's product performance has been greatly improved. Related products have also been maturely applied in customs, public an, financial, airport and other fields.
Five elements of face recognition development
Face recognition is a systematic project, including algorithms, data, computing power, imaging, and talent. In order to achieve better results, every aspect needs to be considered. The algorithm must have its own uniqueness and advancement. The data must have its own database. It must use advanced artificial intelligence chips and GPU computing chips. The imaging of the camera should be excellent in different environments. Of course, talents are also very important. . Only by solving these five points can face recognition products take the lead in the industry.
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The face recognition technology of Jieshun Technology has been very leading in the same industry and has obvious advantages. In the field of face recognition, Jieshun started from scratch, from algorithm pre-research, hardware platform selection, productization, internal use testing, performance optimization, data collection, training hardware upgrade, data labeling group formation, product release. , product trial sales, etc., from zero to one, from coarse to fine conversion.
In the near future, face recognition products will be shuffled, and a small number of small fish and shrimp companies without competitive advantages will be eliminated. The environment will be better, and there will be a trend of strategic cooperation between R&D companies and large enterprises, forming an industry threshold. . Therefore, it is necessary to be pre-emptive, to attack the city in advance, and to cooperate strategically in order to occupy an invincible position in the market.
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