{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854396","patent":{"patent_number":"US-9854396","title":"Monitoring movement transitions via cellular network data","assignee":null,"inventors":[],"filing_date":"2015-11-23T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04W","G08G","G08G","G08G","G08G","G08G","G08G","G08G","H04W","H04W"],"num_claims":20,"abstract":"Systems and methods for receiving cellular network data including a plurality of device identifiers and, for each of the plurality of device identifiers, determining a first cell border crossing associated with a device identifier, determining a second cell border crossing associated with the device identifier, determining a speed of movement of the device associated with the device identifier between the first cell border crossing and the second cell border crossing, determining, based on the speed of movement of the device, that a movement transition for the device associated with the device identifier has occurred between a first movement category and a second movement category, and storing movement data related to the movement transition and associated with a location of the device associated with the device identifier."},"analysis":{"summary":"The Monitoring Movement Transitions Via Cellular Network Data patent introduces a system and method for accurately tracking movement transitions using cellular network data. The core innovation involves analyzing cellular network data, including device identifiers and cell border crossings, to determine the speed of movement and identify transitions between different movement categories, such as walking, running, or driving. This technology addresses the limitations of traditional tracking methods like GPS, which can be unreliable in urban areas and consume significant battery power. By leveraging existing cellular infrastructure, this approach offers a cost-effective and scalable solution for various applications.\n\nThe problem being solved is the need for more accurate and reliable movement tracking, especially in environments where GPS signals are weak or unavailable. Current tracking methods often struggle to provide real-time data on movement transitions, leading to inefficiencies in logistics, healthcare, and other industries. This patent addresses this issue by using cellular network data to infer movement patterns and transitions with greater precision.\n\nThe key technical approach involves analyzing the sequence of cell IDs visited by a device, along with signal strengths and handover events, to estimate the distance traveled and the time taken. Sophisticated algorithms are used to filter noise and account for variations in cellular network coverage, improving the accuracy of movement estimation. This data is then used to determine the speed of movement and identify transitions between different movement categories.\n\nThe business value and applications of this technology are significant. It can be used to optimize delivery routes, improve fleet management, monitor patient activity levels, and enhance security systems. The market opportunity is vast, as the demand for accurate and reliable movement tracking solutions continues to grow across various industries.\n\nThis innovation offers a competitive advantage by providing a more accurate, reliable, and cost-effective solution for movement tracking. Its ability to leverage existing cellular infrastructure makes it a scalable and practical solution for businesses of all sizes. The Monitoring Movement Transitions Via Cellular Network Data patent has the potential to transform the way we understand and manage movement in a variety of contexts.","layman_explanation":"The Monitoring Movement Transitions Via Cellular Network Data patent addresses the challenge of accurately tracking movement in situations where GPS is unreliable or inefficient. This technology offers a novel approach to monitoring movement transitions using cellular network data, providing valuable insights into how people and objects are moving.\n\n**1. What Problem Does This Solve?**\n\nExisting GPS-based tracking systems often struggle in urban environments, where tall buildings can block GPS signals, and indoors, where GPS signals are generally unavailable. These limitations can lead to inaccurate tracking data and reduced efficiency in various applications, such as logistics, transportation, and healthcare. The Monitoring Movement Transitions Via Cellular Network Data patent aims to overcome these limitations by leveraging cellular network data to provide more reliable and accurate movement tracking.\n\n**2. How Does It Work?**\n\nInstead of relying on GPS satellites, this technology analyzes data from cellular towers to determine the speed and direction of movement. When a device moves from one cell tower's coverage area to another, the system detects this transition and uses the timing and location of the towers to estimate the device's speed and direction. By analyzing these transitions, the system can accurately determine when a device switches from one mode of transportation to another, such as from walking to running or from driving to stopping. Think of it like tracking a car by seeing which exits it takes on a highway – you can estimate its speed and direction without knowing its exact location at every moment.\n\n**3. Why Does This Matter?**\n\nThe ability to accurately track movement transitions has significant implications for various industries. In logistics, it can be used to optimize delivery routes and improve fleet management. In healthcare, it can be used to monitor patient activity levels and ensure timely medication adherence. In transportation, it can be used to improve traffic flow and enhance safety. The potential market impact is substantial, as businesses seek to improve efficiency, reduce costs, and enhance customer satisfaction.\n\n**4. What's Next?**\n\nThe Monitoring Movement Transitions Via Cellular Network Data patent opens up new possibilities for location-based services and applications. Future developments may include integrating this technology with other data sources, such as Wi-Fi and sensor data, to further improve accuracy and reliability. As cellular networks continue to evolve, this technology is poised to play an increasingly important role in the future of movement tracking.","technical_analysis":"The Monitoring Movement Transitions Via Cellular Network Data patent outlines a system that leverages cellular network data to determine movement transitions. The technical architecture involves several key components: data collection, cell border crossing detection, speed calculation, movement transition determination, and data storage. Data is collected from mobile devices as they interact with cellular towers, including device identifiers, cell IDs, signal strengths, and handover events.\n\nThe system uses algorithms to detect cell border crossings, which occur when a device moves from the coverage area of one cell tower to another. These algorithms analyze changes in cell ID and signal strength to identify these crossings accurately. The speed of movement is then calculated based on the time taken to travel between cell border crossings and the estimated distance between the towers. This calculation often involves complex signal processing techniques to account for variations in signal strength and network congestion.\n\nThe movement transition determination component uses a set of rules or machine learning models to classify the movement of the device into different categories, such as walking, running, or driving. These models are trained on historical data and take into account factors such as speed, acceleration, and the frequency of cell border crossings. The system can also be integrated with other data sources, such as GPS or accelerometer data, to improve accuracy.\n\nImplementation details involve the use of cloud-based infrastructure for data storage and processing. The system is designed to be scalable and can handle large volumes of data from millions of devices. Integration patterns involve the use of APIs to allow other applications to access the movement transition data. Performance characteristics are dependent on the density of the cellular network and the quality of the signal. Code-level implications involve the use of efficient algorithms and data structures to minimize processing time and memory usage.\n\nThe system's design allows for real-time monitoring of movement transitions, enabling a wide range of applications. The use of cellular network data provides a cost-effective and scalable solution for movement tracking, especially in areas where GPS signals are weak or unavailable. The algorithms used for cell border crossing detection and speed calculation are crucial for the accuracy of the system. Further research and development could focus on improving the accuracy of these algorithms and integrating additional data sources to enhance the system's capabilities.","business_analysis":"The Monitoring Movement Transitions Via Cellular Network Data patent presents significant commercial opportunities across various industries. The market opportunity size for location-based services is substantial and continues to grow, driven by the increasing demand for real-time tracking and monitoring solutions. This patent addresses a key challenge in this market by providing a more accurate and reliable method for tracking movement transitions using cellular network data.\n\nThe competitive advantages of this technology include its ability to leverage existing cellular infrastructure, its improved accuracy compared to GPS-based systems in urban areas, and its reduced power consumption. These advantages position the technology as a compelling alternative to existing solutions.\n\nThe revenue potential for this patent is substantial. It can be monetized through various business models, including licensing the technology to mobile network operators, developing and selling software applications that utilize the technology, and providing location-based services to businesses. Strategic positioning involves targeting industries such as logistics, transportation, healthcare, and security, where accurate movement tracking is critical.\n\nROI projections are highly dependent on the specific application and business model. However, the potential for cost savings and revenue generation is significant. For example, logistics companies can use this technology to optimize delivery routes and reduce fuel consumption. Healthcare providers can use it to monitor patient activity levels and improve care coordination. Security companies can use it to track assets and enhance situational awareness.\n\nFrom an investment perspective, the Monitoring Movement Transitions Via Cellular Network Data patent represents a promising opportunity. The technology addresses a clear market need, offers significant competitive advantages, and has the potential to generate substantial revenue. Investors should consider the patent's potential to disrupt the location-based services market and its ability to create new business opportunities. Further development and commercialization of this technology could lead to significant returns on investment.","faqs":null,"topics":["cellular network tracking","movement transitions","location-based services","patent US-9854396","mobile tracking","monitoring","movement","transitions"],"tech_cluster":null},"seo":{"title":"Monitoring Movement Transitions Via Cellular Network Data - Patent Analysis","description":"Explore the Monitoring Movement Transitions Via Cellular Network Data patent. Detailed analysis of cellular network tracking for movement transitions. Claims, applications, and more.","keywords":["cellular network tracking","movement transitions","location-based services","patent US-9854396","mobile tracking","cell tower data","geolocation","patent analysis","tracking technology","device identification"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854396","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9854396","citation_suggestion":"Patentable. \"Monitoring movement transitions via cellular network data\" (US-9854396). https://patentable.app/patents/US-9854396","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854396","json":"https://patentable.app/api/llm-context/US-9854396","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T13:41:50.919Z"}