首页|Patent Application Titled "Real Time Verification Of Caller Identification (Id)" Published Online (USPTO 20240064233)

Patent Application Titled "Real Time Verification Of Caller Identification (Id)" Published Online (USPTO 20240064233)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntor Candelore, Brant (Poway, Ca, Us), filed on August 18, 2022, was made availa ble online on February 22, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "With the advancements in the field of telecommunication, vari ous techniques have been developed to make live-human and robot calls using fals ified Caller ID numbers. Robot calls may use auto-dialers and recorded messages, and are called "robocalls". Auto-dialers may use equipment and computer softwar e to dial phone numbers without human intervention. Such calls usually deliver t elemarketing messages and can be annoying to the recipient of the calls. In cert ain countries, express consent is required from consumers for certain types of c alls such as, telemarketing calls. Certain countries also provide for do not dis turb registers and may impose penalties or fines in case unsolicited calls are m ade illegally and willfully. However, since the Caller IDs are falsified, e.g. b ogus, the calls may not be easily traceable, and so the calls may be made with i mpunity. Telemarketers rely on the falsification of Caller IDs to avoid the fine s and penalties. Solutions to blacklist Caller ID numbers are ineffective since the Caller IDs may be completely made up and there is a large pool of Caller IDs to draw from. So, if a particular Caller ID is blacklisted, e.g. resulting in a call being blocked, it may be easy for the telemarketers to switch to a differe nt number. The numbers do not even have to be valid working phone numbers. Furth er, solutions that allow calls with whitelisted Caller IDs may be problematic as there may be often unanticipated legitimate callers whose numbers cannot be pla ced in the whitelist ahead of time.

Emerging TechnologiesMachine LearningPatent ApplicationRobotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.7)