This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Standard Cognition, Corp.. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Mohit Deep Singh: Innovator in Autonomous Checkout Systems
Introduction
Mohit Deep Singh is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of autonomous shopping technology. His innovative work focuses on enhancing the efficiency of cashier-less shopping experiences.
Latest Patents
Singh holds a patent for "Systems and methods for trigger-based updates to camograms for autonomous checkout in a cashier-less shopping." This patent outlines systems and methods for tracking inventory items in a real space area. The method involves receiving signals generated by sensors that indicate changes in an image portion of the real space. In response to these signals, a trained location detection model is implemented to determine if an inventory item has changed its position. Additionally, a trained item classification model is used to classify the inventory item. The inventory database is then updated with the relevant data, providing an updated map of the area based on the received signals.
Career Highlights
Mohit Deep Singh is currently employed at Standard Cognition Corporation, where he continues to develop innovative solutions for the retail industry. His work is pivotal in advancing the technology behind autonomous checkout systems.
Collaborations
Some of his notable coworkers include Jordan E Fisher and Nairwita Mazumder, who contribute to the collaborative environment at Standard Cognition Corporation.
Conclusion
Mohit Deep Singh is a key figure in the development of autonomous shopping technologies, with a focus on improving inventory tracking and checkout processes. His contributions are shaping the future of retail experiences.