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AIOT empowers people and vehicles to build an era of non-sense traffic


The concept of \"non-sense traffic\" was originally derived from the field of smart parking.

The concept of "non-sense traffic" was originally derived from the field of smart parking. The popular application of license plate recognition has allowed the entrance and exit control system of parking lots to be upgraded from the traditional card reading and card reading mode to the automatic control mode of license plate recognition. This entry and exit control mode The transformation has greatly improved the management efficiency of parking lot managers, and laid the foundation for subsequent smart parking related applications based on license plate vehicle identity verification. At present, with the launch of the parking lot automatic payment (mobiles payment) system, the two core links of the parking lot operation-vehicle entry and exit and payment systems are fully opened up, and the parking lot has begun to enter "inductive access" or even "unattended. "era.

The "senseless traffic" in the field of smart parking is largely to solve the problem of urban parking difficulties. Based on technical means such as license plate recognition, mobiles payment, geomagnetic sensing, and video parking guidance, the "Internet +" operation thinking is used to achieve the transformation and upgrading of the traditional parking system. On the one hand, it can speed up the efficiency of parking spaces in the parking lot, and maximize the use of resources in the parking spaces in the city; on the other hand, the intelligent upgrade of the parking lot system can greatly replace the operation links that originally required manual processing. , Allowing management to reduce costs and increase efficiency.

Mining the application value of urban static traffic data

As the basic configuration of a modern city, parking lots have become an important indicator of the overall level of intelligence in construction sites of different scales such as airports, cultural museums, commercial complexes, hospitals, schools, office buildings, parks, and residential communities. The construction of a smart parking lot is not only to improve the efficiency and experience of entering and exiting vehicles, as a sub-link of the smart building, the parking lot also has a special "identity", that is, the output port of urban static traffic data.

The core of this output port is the collection and analysis of parking-related information, including license plate, bound car owner information, entry and exit time information, payment information, etc. On this basis, combined with the specific needs of the application site, the data Imported into the supporting business modules, through the integration and combing of information, the license plate is used as the vehicle's identity certificate to outline the portrait of the car owner, so as to assist the management and users to formulate operation/service plans based on reliable data. Among them, the most well-known is the application of smart parking systems in residential communities and commercial complexes.

More and more residential communities have enabled parking systems based on license plate recognition. The system can identify owners, visitors’ vehicles, monthly or temporary vehicles and other related information through the license plate, and access to current vehicles based on preset processing rules Field permissions are processed automatically, and the entire process does not require excessive operations by the guard post staff. In some high-end or large-scale residential communities, the property will also cooperate with third-party companies to launch targeted services around the community life of owners & car owners and rely on specialized community management platforms, such as online ordering services such as auto beauty and auto insurance.

As for the smart parking lots of commercial complexes, the parking fee system of most commercial complexes is bound to the consumption situation of car owners. Only by patronizing or consuming in specific places can you enjoy free parking or free parking when the consumption is full (discount) ) Parking service. Compared with other public places, the smart parking system of a commercial complex has more data mining value due to the high frequency of vehicle entry and exit and its close relationship with commercial operations. One is to better optimize the daily high-traffic vehicle entry and exit control and the allocations of parking resources in commercial places. The second is to enrich the dimensions of customer information collection and utilization by mall managers by accessing parking lot data, and to reserve data resources for precision marketing . For example, through the docking of the parking management system with the shopping mall customer consumption platform, the user-friendly VIP consumer parking automatic free or discount fee can be realized, and the user-friendly experience of consumer customers can be increased.

Personnel passage scene with face recognition as the core

In the past year or two, face recognition has ushered in a full-blown application trend in areas such as transportation, supermarket retail, and mobiles payment. With the maturity of face recognition technology, the human face has become an effective credential of personal identity. It is based on this relationship that all scenarioses that require personal identity verification may be excavated to become the application scenarioses of face recognition.

The security issues that have been most questioned by users before, with the support of live detection and other technologies, have further consolidated the security of face recognition applications, giving them the opportunity to enter more subdivided application scenarioses, such as communities, parks, and scenic spots. , Commercial buildings, etc.

With the increase in the complexity of the building structure and the increase in the density of the flow of people, the improvement of the traffic experience and the auxiliary flow control of the traffic system based on network intelligence are now becoming the key needs of communities, parks, scenic spots, commercial buildings and other places. Therefore, the traffic scenes of people The transformation and upgrading of China has attracted much attention. In this process, it is undoubtedly the best method to rely on the face recognition solution to manage people, visitors, blacklists, and whitelists.

The most well-known one should be the application of face recognition system in the community. The online access control, elevator control, and visitor systems based on face recognition have brought great convenience to community residents' daily travel. In the "Implementation Opinions on Accelerating the Construction of Smart Communities" issued in many places, the face recognition access control system has almost become the standard configuration of the smart community. Up to now, cities including Shenzhen, Guangzhou, Dongguan, Foshan, Wuhan, Nanchang, Tianjin, Xi'an and other cities have launched government projects for face recognition video access control.

The enthusiasm for the face recognition system in the community scene is a powerful manifestation of the transformation and upgrading of the human traffic scene. Of course, the first dimension still focuses on the security of the community; secondly, as an effective means of urban population control, the residents of the community need to record the personal identification information of the residents in the management center in advance, including names, addresses and facial images, and establish a database . In the affordable housing projects in some cities, face recognition is used as a means of supervision for the implementation of the "real person system" in the community to prevent the occurrence of subletting and sub-lending, and to ensure the fairness and justice of policy housing resources; finally rely on the face Identify the traffic system, create a senseless traffic experience in the community, improve the convenience of community access, and enhance the happiness and security of residents.

In places such as smart parks and smart scenic spots, the use of face recognition in people's traffic scenarioses is more from the perspective of improving management efficiency.

For example, in the smart park scenario, the access control system, channel system, elevator control system, visitor system, and attendance system based on face recognition have constructed a "smart pedestrian" traffic scene in the entire park. Different from the traditional "all-in-one card" solution for smart parks, face recognition brings a senseless travel experience of "one-face communication".

From a management point of view, if the “One Card” only brings data in the dimensions of space and time, then “One Face” will mainly recognize the person’s identity as the first dimension, superimpose spatial and temporal data, and let operations Managers grasp the identity and real-time locations of personnel at the first time, and further proactively deploy security or service work. It is reported that this type of solution has been put into application in a smart park in the industry.

Scenario-based applications drive the integration of human and vehicle data

When all walks of life are actively trying to use data to drive industry decision-making, people and vehicles as the core source of dynamic data generation have undoubtedly become the first objects of data collection and analysis in many industries. Although the static traffic data mentioned above and the pedestrian data stored in the personnel passage management platform belong to different data types, due to the commonality of application scenarioses, they will be integrated by the management to a large extent Enter the same integrated management platform. Through data fusion analysis, to assist the management party to develop relevant applications for different business types.

The smart community is still taken as an example here. The community is a typical place where people and cars gather. From another perspective, the roles of people and cars are owners (tenants) and car owners. With the gradual popularization of the concept of community socialization, related subdivision applications such as community management, property management, and community O2O will be derived around the scene of smart communities. The foundation of these applications will be mainly based on the data related to people and cars in the community.

Owners’ high-frequency applications in the community mainly focus on door opening, visitor invitation, property payment, complaints and repairs, etc. The satisfaction of these needs requires the three major systems of front-end hardware system + management platform + mobiles application to get through the perception layer. And the application layer can send out the demand and get the response. In the same way, the needs of car owners mainly focus on non-inductive payment and monthly card renewal. They also need to rely on license plate recognition, mobiles payment front-end systems, and mobiles applications to complete entry, exit and payment related applications.

The property management will be developed for the dual needs of owners and car owners, by integrating pedestrian scenes, car scenes, and community mobiles data information to carry out daily property payment, complaint repairs, monthly card renewal and other business processing.

In the fields of smart scenic spots, smart parks, commercial buildings, etc., a management platform that integrates people and vehicle traffic data into the entire scene is also becoming a significant trend. This is an important step for vertical industries to move toward digitalization. In addition, according to the application requirements of different scenarioses, the management will also open up the consumption system and ticket sales system to achieve efficient entry and exit, centralized management and control, value-added operations and other applications, which can improve the experience while helping the management to reduce costs and increase efficiency .

Open up data islands to organize AIOT application network

The innovative applications and smart solutions in many scenarioses mentioned above are inseparable from the current enabling role of AIOT, big data, and cloud technology in the vertical industry. Artificial intelligence has greatly improved the identification efficiency of pedestrian and vehicle hardware systems, and brought a better non-inductive traffic experience. The comprehensive coverage of the Internet of Things drives the interconnection between people, vehicles and equipment.

However, in the process of constructing full-scene data fusion, there are still data islands at this stage. In some industries, affected by factors such as user needs, site scale, system renovation and upgrade costs, etc., there are many system supporting facilities for construction vehicles and pedestrian scenes. Only the first round of intelligentization of access control systems, visitor systems, and elevator control systems has been completed. Transformation. As there is no unified data standard, the "data island" between the various subsystems still exists, which has caused the current comprehensive management problem of the intelligent transformation of buildings.

In order to effectively solve the problems of building management convenience and security caused by data islands, the industry is currently trying to connect with the entire large IoT platform through simplified platform solutions based on the perception layer, network layer, platform layer, and application layer. Make associations. These associations are formed to the top application layer. There are solutions for personnel management, smart parking, smart properties, etc., building a large public AIoT subnet, truly realizing the integration of pedestrian and car scenes, and ushering in all aspects The era of senseless traffic and digital management.

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