Binyamina, Israel

Amir Moredechai Lidor

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Seetrue Screening Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Amir Moredechai Lidor. Retrieved from https://idiyas.com/inventor/amir-moredechai-lidor

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



Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Amir Moredechai Lidor: Inventor in Image-Based Security Screening.

Introduction

Amir Moredechai Lidor is an inventor based in Binyamina, Israel. He is associated with Seetrue Screening Ltd. and is named on 1 patent concerning the detection of prohibited objects concealed within items.

Latest Patents

Lidor’s listed patent, “Detection of Prohibited Objects Concealed in an Item, Using Image Processing,” describes a system that analyzes an image of an item. A first software module uses a deep neural network to identify an area containing an element that could enable concealment. A second module uses a neural network to assess whether that area contains a prohibited object. The system can then take action based on the detection result.

Career Highlights

The patent reflects work at the intersection of image processing, neural networks, and security screening. Its staged detection approach first identifies potentially relevant areas and then examines them for concealed prohibited objects.

Collaborations

Lidor is associated with Seetrue Screening Ltd. His listed coworkers include Abraham Marciano and Shani Samoelov.

Conclusion

Amir Moredechai Lidor’s patent focuses on applying neural-network-based image analysis to help detect prohibited objects concealed within items.

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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