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What is Virtual REX?

Electromagnetic sensors consist of two primary elements: a "front-end" that produces and detects electromagnetic waves through a subsystem called the Receiver/Exciter (REX), and a "back-end" tasked with processing both signal and data, typically managed by software. Each subsystem must be developed separately before they can be integrated effectively. The creation of a fully functional sensor grows more intricate and time-consuming due to unexpected obstacles encountered during integration testing. This intricacy primarily arises from the dependencies between subsystems that are challenging to test when developed individually. Consequently, any required software updates, configuration changes, adjustments to waveforms, or upgrades to technology may lead to significantly increased costs, as they usually necessitate on-site verification with the actual hardware of the front-end. To alleviate these challenges, the Virtual Receiver/Exciter (VREX) employs a simulated front-end, which enhances the efficiency of the testing and integration process. By utilizing a virtual model, developers can proactively identify and rectify potential integration challenges much earlier in the development timeline, ultimately leading to a more streamlined workflow and reduced costs in the long run. This proactive approach not only saves time but also enhances the overall quality of the final product.

What is ImSym?

Imagine utilizing images that are supported by precise and thorough data to improve your development process. Speed up the progression of your creative imaging products to market effectively. This solution provides a holistic model of an imaging system that includes lenses, sensors, and image and signal processors (ISPs) even before manufacturing begins. It promotes enhanced collaboration among design teams, ensuring that the final products will operate as intended after production. With a Python interface, automating ImSym processes becomes a seamless experience. You can customize ISP functionalities through routines scripted in Python to suit particular requirements. The platform offers a user-friendly, integrated, and collaborative workflow, significantly increasing overall user contentment. It delivers dependable results, backed by the industry-leading CODE V and LightTools technologies. ImSym merges various capabilities to simulate an imaging system object using a graphics input file, while its accuracy is strengthened by CODE V and LightTools, which are celebrated as the most dependable design tools for imaging and illumination optics. This integration ultimately empowers teams to innovate with both assurance and efficiency, leading to a more dynamic and effective development environment. Through this approach, the potential for groundbreaking innovations becomes more achievable than ever.

Media

Media

Integrations Supported

CODE V Optical Design
LightTools
Python

Integrations Supported

CODE V Optical Design
LightTools
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

FishEye

Company Website

fisheye.net/products/vrex/

Company Facts

Organization Name

Synopsys

Date Founded

1986

Company Location

United States

Company Website

www.synopsys.com/optical-solutions/imsym.html

Categories and Features

Simulation

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

Categories and Features

Simulation

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

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