Toronto, Canada

Daniel M Siegel



Average Co-Inventor Count = 14.6

ph-index = 2

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2017-2019

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3 patents (USPTO):Explore Patents

Title: Daniel M. Siegel: Innovator in Sensor-Based Location Proximity Detection

Introduction: Daniel M. Siegel, an accomplished inventor based in Toronto, Canada, has significantly contributed to the field of sensor-based technologies. With three patents to his name, he has focused on creating innovative systems that enhance geographical boundary monitoring and notification.

Latest Patents: Among Daniel's recently awarded patents is a groundbreaking invention titled "Systems and methods for providing sensor-based location proximity detection and notification." This invention encompasses methods and systems designed to provide notifications concerning geographical boundaries based on sensor data collected from networked devices. The patents detail methods for monitoring positional sensor data, calculating geographical extents, and detecting triggering conditions that can impact device movement. The innovations aim to facilitate timely notifications to clients, allowing for better interaction with the geographical information collected.

Career Highlights: Daniel is currently associated with The Toronto-Dominion Bank, where he works on cutting-edge technological solutions. His role allows him to leverage his expertise in developing innovative tools that can transform banking experiences through enhanced proximity detection systems.

Collaborations: During his career, Daniel has had the pleasure of collaborating with talented individuals, notably Orin Del Vecchio and Lauren Van Heerden. Together, they have worked on advancing projects that seek to integrate emerging technologies into practical applications for everyday use.

Conclusion: Daniel M. Siegel exemplifies how innovative thinking and collaboration can lead to significant advancements in technology. His contributions in sensor-based location proximity detection not only serve the banking sector but also pave the way for future developments in geographical boundary monitoring.

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