Toronto, Canada

Jing Wang

This inventor holds 17 USPTO granted patents, primarily in Machine Learning Applications. Top assignees: Samsara Inc., Fuji Electric Co., Ltd., Tapplock Corporation. Active years: 2013-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jing Wang. Retrieved from https://idiyas.com/inventor/jing-wang-w5u8leqb

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 76.5

Average Co-Inventor Count = 6.2

ph-index = 8

Forward Citations = 492(Granted Patents)


Company Filing History:


Years Active: 2013-2026

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Areas of Expertise:
Cloud-Assisted Calibration
Edge Device
Machine Learning
Automated Panic Button
Dashcam Technology
Video Data Optimization
Event Triggers
Neural Networks
Task Assignment
Camera Detection
Integrated DC-DC Converter
Transient Suppression
17 patents (USPTO):Explore Patents

Title: Innovator and Inventor Jing Wang: Shaping the Future of Vehicle Safety Technology

Introduction

Jing Wang is an accomplished inventor based in Toronto, Canada, with an impressive portfolio of 10 patents. Her innovative work primarily focuses on enhancing vehicle safety through the integration of machine learning and advanced detection systems. With a strong commitment to improving real-time safety measures, Jing continues to contribute to the tech landscape with her groundbreaking inventions.

Latest Patents

Jing Wang's latest patents showcase her expertise in utilizing artificial intelligence to enhance vehicle safety systems. One significant invention is titled "Refining Event Triggers Using Machine Learning Model Feedback." This patent describes a vehicle device capable of executing multiple neural networks, informed by inputs from various sensors, including dash cams. This device intelligently detects safety events in real-time and incorporates feedback from a backend server to analyze and confirm the accuracy of its detections. If inaccuracies are identified, the device can recalibrate its methods of event identification to improve safety outcomes.

Another noteworthy patent is "Detection of Camera with Impaired View." This invention outlines methods and systems for identifying impaired views in monitoring cameras. Jing's approach employs a rotation classifier trained with unsupervised learning alongside an impairment classifier trained with supervised learning. This allows the system to process vehicle images captured by onboard cameras, determine any impairments, and present the findings on a user-friendly interface.

Career Highlights

Throughout her career, Jing Wang has made significant strides in the fields of automotive technology and artificial intelligence. She has been associated with industry-leading companies such as Samsara Inc. and Fuji Electric Co., Ltd. Her hands-on experience in these organizations has played a pivotal role in her development as an inventor and has facilitated her innovative contributions to the field.

Collaborations

Jing has had the opportunity to collaborate with remarkable professionals throughout her career, including her colleagues, Sharan Srinivasan and Brian Tuan. These partnerships have fostered an environment of creativity and knowledge exchange, aiding in the development of her substantial body of work.

Conclusion

In summary, Jing Wang is a prominent figure in the realm of vehicle safety technology, marked by her ten patents and continuous drive for innovation. Her latest inventions, focused on refining safety event detection mechanisms and addressing impaired camera views, are testament to her expertise and impactful contributions. As she continues to collaborate with talented individuals and organizations, the future promises further advancements that will undoubtedly enhance vehicle safety and technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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