ANI Technologies has developed a method and system for detecting the authenticity of rides in a ride-hailing environment. By analyzing historical location and telecom data, the system generates a cellular network data corpus to verify the legitimacy of a ride based on current location and cell tower information. GlobalData’s report on ANI Technologies gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on ANI Technologies, Usage monitoring vehicle telematics was a key innovation area identified from patents. ANI Technologies's grant share as of February 2024 was 34%. Grant share is based on the ratio of number of grants to total number of patents.
Authenticity detection method for rides in ride hailing environment
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A recently granted patent (Publication Number: US11915250B2) outlines a method for authenticating rides using historical location and telecom data. The method involves retrieving historical data of a geographical region, generating a cellular network data corpus, and receiving real-time location and telecom data from a driver's device. By comparing this data with the cellular network data corpus, the application server can determine the authenticity of the ride. The system also includes checks for missing data, changes in cell tower hashes, and distances traveled without changes in cell towers to further verify the ride's authenticity.
Furthermore, the patent also describes an application server designed to execute the authentication method. The server retrieves historical data, generates a cellular network data corpus, and processes real-time location and telecom data to detect ride authenticity. It includes features such as determining missing data counts, monitoring changes in cell tower hashes, and calculating distances traveled to ensure the ride's legitimacy. By utilizing geohashes and cell tower hashes, the system aims to provide a robust mechanism for verifying the authenticity of rides, enhancing security and trust in ride-sharing services.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
