Idan Cohen

Title: Idan Cohen: Innovator in Vehicle Inspection Technology

Introduction

Idan Cohen is a prominent inventor based in Tel Aviv, Israel. He has made significant contributions to the field of vehicle inspection technology, holding 2 patents that showcase his innovative approach to vehicle damage assessment and inspection visualization.

Latest Patents

One of Idan Cohen's latest patents is a "Vehicle status analysis mechanism." This system generates instructions for a generative model to present vehicle damage assessments. It includes image sensors positioned at various heights and angles to capture vehicle images. The system features a communication element for receiving images and accessing a stored model, along with a processor connected to endpoint devices via a network. The processor generates instructional inputs that combine damage severity classifications with vehicle images, sending these to the generative model to obtain natural language elements for structural damage reconstitution. This system creates interactive presentations with populated template fields and classification selection elements displayed on endpoint devices. When users select different damage severity classifications in real-time, the system automatically generates new instructional inputs, obtains updated natural language elements from the generative model, and dynamically updates the presentation. This enables real-time comparison of different damage severity assessments for the same vehicle damage using the same source images.

Another notable patent is for "Generating interactive vehicle inspection interfaces using multi-model artificial intelligence and anchor-based spatial tracking." This system and method generate an interactive user interface for inspection visualization. It includes multiple imaging devices positioned along an inspection passage and at least one processor that executes instructions to obtain multiple sets of images of vehicle surface segments captured during relative movement between the vehicle and imaging devices. The images are stitched into a dataset record mapping vehicle parts and surface anomalies. The image data is transformed into a moving visual media object using a first generative AI model. The system computes a mapping record between segmented vehicle parts and target frame areas, transforming the mapping record and visual media object into an interactive interface using a second generative AI model. The interface displays user-selectable markers synchronized with media playback, indicating anomaly locations from multiple viewing angles, and performs data retrieval and display actions based on user selection of anomalies.

Career Highlights

Idan Cohen is currently employed at Uveye Ltd., where he continues to develop innovative solutions for vehicle inspection. His work focuses on enhancing the accuracy and efficiency of vehicle damage assessments through advanced technology.

Collaborations

Idan collaborates with talented individuals such as