Anti-fraud Information Aggregation Dissuasion Application Platform
The legal document delivery system mainly takes electronic communication methods such as mobile phone short messages and smart applications as the carrier, and uses digital technologies such as mobile Internet and artificial intelligence to create a multi-channel and multi-form online delivery model for legal documents to achieve document service. intelligent, standardized and efficient.
The product breaks through data barriers, and through the realization of data interaction between internal and external networks, the case-handling system and the external network data transmission are opened; the household registration information of the public security organs, the real-name authentication information of the three major operators, and the e-commerce platform are related, and the information database of the recipients is established. Face recognition and other technologies have built a strong defense line for digital delivery; under such a system, case investigators can initiate delivery as long as they check the documents to be delivered and fill in the recipient's information.
The case-handling personnel are gradually freed from the tedious mailing of documents, and the legal documents are delivered to the parties through the Internet. By clicking on the text message link or entering the designated WeChat applet, the party concerned can view the downloaded and served legal documents, and can electronically sign online, which not only improves efficiency, but also effectively saves resources.
With the high incidence of telecommunication fraud cases and the continuous attention of leaders at all levels, the task of anti-telecom fraud is arduous and urgent. Under the premise of "combining combat with prevention and giving priority to prevention", comprehensive publicity combined with targeted dissuasion has become a powerful means of combating telecommunication fraud.
With the continuous development of artificial intelligence underlying technologies represented by deep learning, technologies such as speech recognition (ASR), speech synthesis (TTS), and natural language understanding (NLU) have become more mature, making speech-based human-computer interaction possible. . However, the traditional manual anti-fraud publicity and dissuasion has low efficiency, difficult data sorting, high cost, and poor user experience. The intelligent anti-telephone fraud AI outbound call robot automatically makes calls, provides intelligent upgrades and transformations in the form of human-machine voice interaction, supports anti-telecom fraud propaganda, dissuasion and other scenarios, so as to maximize the public's anti-telephone fraud awareness and protection. Good people's "money bag".
