This inventor holds 1 USPTO granted patent and 1 published patent application, plus 1 CIPO patent and 1 EPO patent. Top assignee: Motion Metrics International Corp.. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Sahar Ghavidel: Innovator in Heavy Equipment Monitoring Technology
Introduction
Sahar Ghavidel is a notable inventor based in Vancouver, Canada. She has made significant contributions to the field of heavy equipment monitoring technology. Her innovative approach focuses on enhancing the operational efficiency and safety of heavy machinery.
Latest Patents
Sahar holds a patent for a method, apparatus, and system for monitoring a condition associated with operating heavy equipment such as a mining shovel or excavator. This patent describes a computer processor-implemented method that involves receiving a plurality of images at an interface of an embedded processor on the heavy equipment. The images provide a view of at least an operating implement of the heavy equipment. The method processes each image using a first neural network trained to identify critical and non-critical regions of interest. This technology aims to alert operators of critical operating conditions and transmit relevant data for further analysis.
Career Highlights
Sahar Ghavidel is associated with Motion Metrics International Corp., where she applies her expertise in developing advanced monitoring systems for heavy equipment. Her work focuses on integrating artificial intelligence with practical applications in the mining and construction industries.
Collaborations
Sahar collaborates with talented professionals in her field, including Shahram Tafazoli Bilandi and Mahdi Ramezani. These partnerships enhance the development and implementation of innovative solutions in heavy equipment monitoring.
Conclusion
Sahar Ghavidel's contributions to heavy equipment monitoring technology exemplify her commitment to innovation and safety in the industry. Her patent and collaborative efforts position her as a key figure in advancing operational efficiency in heavy machinery.