The intelligent on-site cloud platform can conduct statistics and analysis through the data obtained by face recognition technology, and can accurately count working hours, absenteeism, late arrival, early departure, etc. The intelligent on-site cloud platform can conduct statistics and analysis through the data obtained by face recognition technology, and can accurately count working hours, absenteeism, late arrival, early departure, etc.

With the advent of the era of intelligence, artificial intelligence is gradually infiltrating all walks of life, playing a huge value. Smart cities, smart communities, and smart transportation are constantly being promoted, and user habits are gradually being developed, and face recognition is gradually ubiquitous in life. According to relevant data, the market value of facial recognition technology is expected to increase from $3.4 billion in 2019 to $120 billion by 2026 . Among them, face recognition includes face detection, attribute analysis, face comparison, face search, activity detection, etc. In construction sites, smart communities, smart parks and other industrial scenarios, face recognition technology is flexibly applied in face attendance, access control, access control and other businesses.

Advantages of face recognition technology in smart communities

1. Traditional card swiping, manual registration, etc., B3W-1152 is easy to cause problems such as residents forgetting to carry the access control card, not cooperating with security registration, and inconvenient for visitors to enter and exit. Moreover, the access control card is easily forged by criminals, which is not conducive to the security management of the community. Using the face access control solution, it can realize non-contact and non-perceptual face-swiping access, register online in advance, and automatically record the information of temporary entry and exit personnel, reducing the risk of property safety management.

2. Combined with ID card recognition, face comparison, live detection and other combined capabilities, connect the authoritative data sources of the public security, ensure that the user is "real" and "in person", and quickly complete the user's identity verification, if there is a suspicious person sneaking in The community can be detected in time and the security of the community can be improved.

3. Statistical analysis of the data obtained by the face recognition technology system, special care for the elderly and children, and statistical analysis of their routes, time and times of entry and exit, to determine whether they are dangerous.

Advantages of face recognition technology in smart scene

1. In order to improve the security of the site, the face recognition system requires registration of identity information and filing. Anyone who is blacklisted has no chance to enter the site, and the management is more efficient.

2. The face recognition system can grasp the dynamics of the construction workers in real time, effectively record the commuting time, and link the attendance status to eliminate disputes in the salary table. possible.

3. The project is guaranteed, the key person in charge is on duty in real time, and the quality of the project, the progress of the project, and the bean curd residue project will be greatly reduced.

4. The intelligent on-site cloud platform can perform statistics and analysis on the data obtained by face recognition technology, and can accurately count working hours, absenteeism, late arrival, early departure, etc. Carry out labor cost analysis, subcontract investment analysis, engineering benefit analysis, etc. for the enterprise.

In the future, face recognition technology will no longer be limited to face detection and general feature extraction, but will also support functions such as machine learning, facial mouth shape, and facial recognition. Intelligent extraction, such as eyebrows, moles, facial scars and other structural features, using geometric feature method, eigenface method, elastic model method, convolution method, etc., to completely standardize the face recognition algorithm;