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466 results about "Direct transfer" patented technology

Consumer-directed financial transfers using automated clearinghouse networks

Consumer directed transfers of funds over the Internet are provided by a combination of systems and networks, including the Internet, email, and the Automated Clearinghouse system (ACH). A host system provided by a funds transfer service manages requests of senders to transfer funds and further manages responses of receivers to claim funds. The host system allows the sender to initiate the funds transfer by specifying the amount of the transfer and information for contacting the receiver, without the need to specify the account of the receiver for receiving the funds. Instead, the host system contacts the receiver and informs the receiver of the available funds; the receiver can then provide the necessary target account information for completing the funds transfer. The ACH is used to effect the transfer of funds, with the host system providing instructions for ACH entries to its financial institution using account information separately received from the sender and receiver. The credit risk associated with originating ACH entries is reduced by use of the Point of Sale system to verify sufficient funds in the sender's account by comparing the closing balance of the day the funds transfer is requested with the transfer amount. Sender fraud is reduced by comparing a sender provided balance (or check number/amounts) with an account balance acquired through automated means such as the POS system or ATM network.
Owner:INTUIT INC

Monocular vision obstacle avoidance method based on deep learning

InactiveCN107553490AMove fastProgramme-controlled manipulatorSpeed learningRgb image
The invention provides a method for avoiding an obstacle based on a deep double-Q network countermeasure architecture. The method comprises the steps that a monocular vision RGB image is adopted, anda corresponding depth image is obtained; based on a countermeasure network and double-Q network mechanism, a model is trained in a simulator, and knowledge leant from a simulation test can be seamlessly transferred into a new scene in the real word; a machine learns how to avoid the obstacle on the simulator, and the deep information forecasting can be conducted even in an extremely noisy RGB image. According to the method, in combination with the double-current countermeasure network, monocular vision obstacle avoidance is conducted, the end-to-end high-speed learning of the obstacle avoidance task is achieved with the limited computing resources based on the double-Q network by the adoption of the countermeasure network architecture and can be directly transferred into the real robot completely, complex modeling and parameter adjustment of a traditional path planner are avoided, the performance can be improved greatly, and the training speed is increased greatly; and in addition, a variety of robot operating environment information is provided by a monocular camera, the cost is low, the weight is low, and the method is applicable to various platforms.
Owner:SHENZHEN WEITESHI TECH
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