31results about How to "Supervision in real time" patented technology

The invention provides a UAV supervision method and system. The black box is launched to obtain the inertial flight data of the UAV, the black box is received to obtain the position data of the current ground station where the UAV pilot is located, and the general ground station obtains the UAV These three types of data are obtained through the user terminal and sent to the cloud server, and the cloud server compares and verifies the relevant algorithms of the three types of data to determine the current flight status of the drone, so as to effectively supervise the drone , Send relevant early warning and warning signals in time. By transmitting the multi-degree-of-freedom inertial measurement data of the black box, the precise positioning data of the pilot on the ground, and the flight data of the general ground station, the three types of data are fused and positioned, which avoids the blind zone effect of the public network signal in the air, and also prevents the user from sending False flight data evades supervision, thus realizing real-time and effective air drone supervision.

The present invention provides a transfer payment method based on block chain technology, comprising the following steps: the user submits the information of himself and the transfer party to generate a transaction request; the merchant order system submits the transaction request to any node on the block chain payment system , then at this time, the node constitutes the receiving node; after the block chain verifies the payment request, the verified payment request is formed into a block through the consensus algorithm, thus, the payment request is recorded on the block chain; The Prophet system listens to the payment request on the blockchain of the matching node and sends the payment request to the payment channel; the payment channel processes the payment request and returns the payment result to the Prophet system; the Prophet system passes the matching The block chain node returns the payment result to the block chain; the payment result is recorded on the block chain after being formed into a block through the consensus algorithm, and is notified to the merchant's transaction system; the whole payment process is completed, and the payment is ended . The present invention facilitates the implementation of accurate, timely and multi-dimensional supervision, and can solve the problem that online e-commerce service platforms and offline payment service providers are suspected of double clearing.

A payment method based on blockchain technology for passively scanning the code on the user's mobile terminal, including the following steps: the user opens the payment APP on the mobile terminal, and presents the payment QR code to the merchant; the merchant scans the QR code, and the QR code and The order request is submitted to any node on the blockchain payment system, which constitutes the receiving node; the payment request is recorded on the blockchain; the prophet system listens to the payment request on the blockchain of the matching node, and sends The payment request is sent to the payment channel; the payment channel processes the payment request and returns the payment result to the prophet system; the prophet system returns the payment result to the blockchain through the matching blockchain node; the payment result is recorded in the block On the block chain; the payment channel settles the transaction funds to the settlement account of the merchant, and sends the settlement result to the prophet system, and through the prophet system, the settlement result is packaged on the block chain through the matching block chain node, and the payment is completed. process.

The invention relates to an active or auxiliary protection method and system for safe driving of a vehicle. A monitoring method for driver fatigue driving and improper driving behavior based on eye-tracking technology, which adopts the fusion scheme of stable line-of-sight algorithm and precise line-of-sight tracking algorithm: collect face data, locate face information in the image; continuously monitor the driver's head posture Detection, database face data comparison, confirm the real face; use the stable line of sight algorithm to locate the feature points in the image, adaptively build a 3D head model, and determine the driver's behavior, head orientation, line of sight orientation, and eye status; accurate The eye-tracking algorithm uses the corneal reflection method combining bright and dark pupils to obtain the driver's precise line of sight; determines the driver's distraction level according to the head posture and line of sight direction, and further determines the allowable time for the driver to let go. An active safety driving monitoring system, including a driver's face detection module, a front-view monocular camera, a DMS control module, a human-computer interaction system, and a T‑box vehicle network communication terminal.