99results about How to "Reduce regulatory costs" patented technology

The invention discloses a method for constructing a financial asset trading system based on an alliance chain. With an alliance chain as a technical support, a novel financial asset digital unique certificate is provided based on the existing laws and regulations. The system uses a distributed technology architecture. All participants jointly maintain the ledger of financial asset trading. It is ensured that the trading of financial assets is open, transparent, real and credible. The credit risk of trading is reduced. The cross-platform and cross-region flow of financial assets is promoted. Tedious manual account checking work between platforms is omitted. In addition, the block chain technology is applied to the field of financial asset trading for the first time. A unified and standardized financial asset trading platform is established. Digital management of financial assets is realized. The credit risk of trading can be prevented effectively. The efficiency of trading and supervising is improved. The trading cost is reduced.

The invention discloses a lottery issue system and device based on block chains. The lottery issue system comprises a plurality of lottery issue terminals, which are used for establishing lottery information corresponding to each lottery item; lottery issue record generating units arranged at the corresponding lottery issue terminals respectively and used for generating corresponding lottery issue records; a plurality of lottery user terminals used for obtaining each lottery information and selecting a target lottery item to be bet; lottery bet record generating units arranged at the lottery user terminals respectively and used for generating bet behaviors and generating lottery bet records; winning information generating units arranged in the block chains and used for generating winning information comprising winning lottery user terminals and the amount of prize; and prize payment record generating units arranged in the lottery issue terminals and/or the block chains respectively and used for determining winning lottery user terminals and transferring digital assets corresponding to the amount of prize to the winning lottery user terminals and generating prize payment records respectively.

The invention discloses a supply chain finance block chain application method based on a sovereign block chain technology. The invention relates to a block chain field and especially relates to a sovereign block chain field. By using the method, problems that supply chain financing rate is low; a supply chain can not high-efficiently achieve a credit function; and a supply chain finance ecosphere cooperation development is restricted are solved. In the invention, based on the sovereign block chain technology, a block chain application platform suitable for China supply chain finance is constructed so that safety and traceability of supply chain finance application are increased. Mutual trust is established and transaction cost is reduced. Productivity of each node of a whole supply chain and a fund utilization rate are increased. A supervision node is provided for a supervision mechanism and whole process links of the supply chain finance are supervised.

The invention provides a deep learning system and method based on the hyperspectral camera technology. The method comprises the following steps: storing face information of a user and identity information corresponding to the face information; shooting the face of a shopper by using a face recognition camera to obtain the face information of the shopper; comparing the face information of the shopper with the stored face information of the user, and when the face information of the shopper exists on a server, opening a shopping gate; shooting the action track of the shopper in real time, and uploading an action track image of the shopper to the server for storage; sending a changed weight value to the server, and reporting the position of a shelf; comparing the position of the shelf with the action track image of the shopper to obtain the shopper currently at the position of the shelf; obtaining unit prices of settlement items to be settled together; and when it is detected that a checkout request the shopper is completed, opening an exit door. By adoption of the deep learning system and method provided by the invention, accurate monitoring and management of shopping behaviors in unmanned supermarkets are achieved.

The invention discloses a transporting system and a method for an express or logistics, essentially aiming at improving transporting efficiency and service quality of the conventional express or logistics transporting system as well as reducing management cost. With application of a modern computer network technology, an open transporting system organizing method is realized, thereby reducing the management cost of an express enterprise or a logistics enterprise. Through a method for establishing a mortgage transporting credit system, supervision and guarantee of quality safety in a transporting process is achieved with low cost. The method makes it possible to make use of great scattered transport capacity in the society through establishments of the open organizing method and the mortgage transporting credit system, thereby greatly reducing transporting cost of the transporting system.

The invention discloses a method for automatically judging a dress code through a surveillance video, and is mainly used for judging whether the dressing of the head of an operator is normative or not. The method comprises the following steps that: through a camera, collecting the head characteristics of the operator on line, and generating an image; and through a deep learning training model, extracting image characteristics, judging whether the dressing of the head of the operator is normative or not, and if the dressing of the head of the operator is not normative, outputting alarm information. By use of a deep learning method, features are automatically extracted, the extracted features exhibit better robustness so as to greatly improve a detection result, working efficiency is improved, supervision cost is saved, a supervision dimension is expanded, and supervision accuracy is improved.

The invention discloses a parking management system. The system comprises an identification unit, at least two information collection units, an information processing unit and a prompting unit; the identification unit is disposed on a vehicle and records vehicle information; the information collection units are used for acquiring the vehicle information on the identification unit; and the information processing unit is used for acquiring the collected vehicle information, calculating distance between the vehicle and all the information collection units, judging whether the distances are all within a preset range, and then performing corresponding prompting. The invention also discloses a parking management method. With the parking management system and method of the invention adopted, a problem that a user randomly parks his or her vehicle can be solved; standard parking can be realized; parking can be regulated; precise restrictions are realized; safety risks are lowered; and convenience can be brought to supervision and management.

The invention provides a marine ship detection method and system based on a multi-scale convolutional neural network model, and the method comprises the steps: building a ship image sample library, collecting the ship video data of a coastal region under visible light based on an unmanned plane platform, extracting each frame of image, and obtaining the true value, length and width of the positionof a ship; performing enhancement processing on the data through digital image processing algorithms such as inversion and zooming; constructing a multi-layer convolutional neural network as a ship target detector, and inputting the obtained processed image as sample data into a deep learning network to obtain a convolutional feature map; and constructing a multi-scale convolutional neural unit,performing feature fusion on the multi-layer convolutional feature map based on the convolutional feature map, and performing training according to the obtained real position of the ship to obtain a training model. Due to the fact that a multi-scale fusion method is adopted, the detection accuracy is well guaranteed, and the training difficulty is reduced.

The invention discloses an unmanned aerial vehicle flight monitoring method, platform and system. The method includes the following steps that: location information which is transmitted by an unmanned aerial vehicle through a smart card is received; whether the unmanned aerial vehicle enters a flight forbidding region is judged according to the location information and a preset electronic map; and if it is judged that the unmanned aerial vehicle enters the flight forbidding region, prompting information is sent to a terminal corresponding to a first mobile phone number through the first mobile phone number corresponding to the smart card. According to the unmanned aerial vehicle flight monitoring method, platform and system of the invention, the location information can be obtained just through the smart card, and whether the unmanned aerial vehicle enters the flight forbidding region can be judged according to the location information, if the unmanned aerial vehicle enters the flight forbidding region, the prompting information can be sent to the terminal corresponding to the smart card, so that the monitoring of the unmanned aerial vehicle can be realized, and therefore, the complexity of an unmanned aerial vehicle flight monitoring system and the monitoring costs of the unmanned aerial vehicle can be decreased.

The invention provides a block chain-based good safety multi-interest subject credit evaluation method. According to the method, a Hyperledger block chain is taken as a bottom support technology of the credit evaluation method, multi-interest subjects (traders) on food supply chains and supervisors are endowed with different identity authorities, and the traders are endowed with identity anonymityand evaluation result publicity and transparency during the evaluation; and the supervisors collect evaluation information, for transactions, of the multi-interest subjects on the food supply chainsthrough intelligent contracts, carry emotion analysis on the fed back evaluation information by adoption of a deep learning algorithm long and short term memory (LSTM) model, and feed credit evaluation results back to both parties of the transactions. According to the method, the efficiency and correctness of traditional credit evaluation systems are improved and the effectiveness of food safety supervision is enhanced.

The invention provides a method for protecting software based on a block chain. In the method, the software on an application platform are registered and subjected to data backup, copies of all the software are endowed with serial numbers, and are verifiable, real and transparent, for example, login time, developers and users of the software are inquired, and meanwhile all parties, no matter whichare the developers or the users or monitoring parties, participating in processing of all the software participate in the processing process of the block chain. In this way, the method for protectingthe software based on the block chain can improve the transparency and standardization of application software processing, and lower the cost for preventing copyright benefits from being infringed for the developers to lower supervising cost. In addition, the invention aims to provide a system for protecting the software based on the block chain.

The present invention discloses a method and system for tax and financial supervision, which is based on original certificate data in transaction. The method consists of supervisor collecting original certificate data in transaction from supervisee by setting transaction data center, adopting the same data structure to store and process, and completing integral statistic and sorting analysis directly by making use of various information of supervisee contained in original certificate data in transaction. The system comprise data applied system, several transaction data sub centers, each of which connects with others bi-directional via network, and transaction terminals, which connect with access system of transaction data center via network or artificial process.

The invention provides a catering dish comment supervision method and a system and an assembly thereof. A comment supervision code is compiled for a restaurant or each catering dish sold by the restaurant. The comment supervision code is arranged on a sign board which is arranged on a dining table or a dining plate. Restaurant or catering dish introduction information and the comment supervision code are correspondingly stored in a diner comment supervision website server. A diner uses an intelligent mobile phone to scan the comment supervision code and can login a diner comment supervision website, browse the restaurant or catering dish introduction information, input comment information and input complaint information so that an objective of restaurant and catering dish supervision through the government can be achieved. The comment supervision code is easy to be shared in a WeChat circle of friends by the diner preferring to show food together with the catering dish plate so that an objective of free spreading of the comment supervision code can be achieved and thus network sales can be realized. The catering dish comment supervision method is low in investment and low in use cost, and the area supervision effect can be instantly achieved after forced popularization in the local area.

The invention provides a household garbage classifying and charging method and device. The household garbage classifying and charging method comprises the steps of classifying garbage to obtain the classified garbage to be charged, wherein the garbage includes kitchen garbage, recyclable garbage, harmful garbage and other garbage; charging the garbage to be charged according to charging managementstrategies corresponding to the garbage to be charged, wherein the charging management strategies corresponding to the kitchen garbage include convenient charging and source tracing supervision, thecharging management strategies corresponding to the recyclable garbage include self-service charging and subdivision management, the charging management strategy corresponding to the harmful garbage includes overall-process electronic tracking supervision, and the charging management strategy corresponding to the other garbage includes metering charge. The household garbage classifying and charging method is provided for aiming to reduce the execution cost of classified charging of the four kinds of household garbage in convenience and differentiation of the charging mode, the charging distance and the charging frequency during implementation of garbage classification so as to cultivate the habit of classification of household garbage.

The invention relates to an Internet of vehicles based vehicle behavior supervision method and an Internet of vehicles system, and belongs to the technical field of the Internet of vehicles. The method comprises that a sensing unit collects position information corresponding to a vehicle according to a present time interval, and sends the position information to a management server via a corresponding sensing network communication server; the management server determines whether the vehicle has a violation parking behavior is determined according to the received position information; if YES, the management server generates a corresponding violation report, and sends the violation report to a service server; and the service server sends the violation report to corresponding user terminal equipment. Thus, a driving behavior of the vehicle can be monitored in real time, the violation parking behavior can be discovered timely, the violation parking behavior is monitored with more efforts,drivers with fluke mind is warned, and the supervision cost can be reduced.

The invention discloses a vitro-diagnostic-reagent supply chain information integrated-management platform realizing full-chain monitoring. The platform includes an information processor and a memoryused for storing a database. The information processor has a user-oriented interface, a production-oriented interface, a sales-oriented interface, a warehousing and distribution-oriented interface anda supervision-oriented interface, and an order processing unit, an order data rechecking unit, a warehousing data processing unit, a logistics data processing unit, a checking and acceptance data generation unit, an authority allocation unit and a data reading and writing unit are internally integrated. The order processing unit is connected with the order data rechecking unit. The order data rechecking unit is connected with the warehousing and distribution end interface. The checking and acceptance data generation unit is connected with the sales end interface, the user end interface and the warehousing and distribution end interface. All the order processing unit, the order data rechecking unit, the logistics data processing unit, the checking and acceptance data generation unit, the warehousing data processing unit and the authority allocation unit read data from the database in the memory and write data to the database through the data reading and writing unit. The platform realizes full-chain monitoring and full-chain information integrated-sharing.

The invention relates to a method, device and system for detecting a vehicle through an intelligent lamp post and electronic equipment thereof, and the method comprises the steps: collecting the values of the length, width and height of a truck, and measuring and calculating whether the truck is super-high, super-wide or super-long or not; analyzing the truck nuclear weight, and measuring and calculating whether the truck is overweight or not; calling data of the freight car along the way, analyzing and calculating whether the freight car has weight reduction or not, calculating the total weight borne by the road surface in the road section range according to the set road section, and evaluating the traffic safety. The system can monitor, classify and automatically detect whether the trucks in the coverage area of the intelligent lamp post have overload and overrun conditions or not; an off-site contact measurement technology is realized through the intelligent lamp post control centerto monitor, detect and respond to overrun and overload vehicles; on-site law enforcement of law enforcement officers can be reduced, time-consuming and labor-consuming methods such as manual vehicleblocking and fixed detection point detection are avoided and reduced, road safety, freight transport efficiency and traffic management efficiency are improved, and meanwhile supervision cost and driver consumption are reduced.

The invention discloses safety risk monitoring and early warning method for dairy products. The method comprises the following specific steps of: submitting data by a diary product producing enterprise; checking whether the data have obvious errors; preprocessing the accurate data; mining mode data; automatically analyzing the mined mode data, finding abnormal data, and making decisions according to the analysis result; and correcting decisions, and developing an early warning mechanism. The method has the advantages that a reasonable scientific mode for analyzing the production behavior of the enterprise is constructed, an automatic monitoring and early warning mechanism of quality safety key indexes and the like is constructed, and the scientific technical support is provided for deepening the risk management work; and problems in the production and management of the enterprise can be found timely, the disorderly conducts in the production and management can be effectively suppressed, and the enterprise is supervised and urged to strictly carry out the entity responsibility; and the informatization and automation level of food supervision is greatly improved, and the supervision efficiency is promoted to be improved.