TiaLinx Unveils Cutting-Edge AI-Enhanced Imaging Solution for Challenging Environments

TiaLinx, Inc. is pleased to announce the successful launch of their state-of-the-art EagleVU24 Deep Neural Network imaging software, a significant advancement in imaging technology designed to provide precise object detection in visually degraded environments. This innovative software utilizes sparse mmWave data sampling to generate accurate silhouettes of detected objects, even under challenging conditions.

The EagleVU24 software is a testament to TiaLinx’s commitment to pioneering solutions and makes use of patented planar programmable polarized active antenna arrays with beam steering capability, also known as “P3BA3TM”. Combined with the company’s advanced sensor fusion Deep Neural Network AI technology, this cutting-edge solution delivers unprecedented object detection capabilities, particularly in occluded environments.

Dr. Fred Mohamadi, the Founder of TiaLinx, Inc., has expressed the company’s enthusiasm for this groundbreaking achievement, stating that “our solution provides a crucial tool for industries requiring precise object detection in challenging conditions, such as automotive safety and runway incursion.”

According to a report by Allied Market Research, the global market for collision avoidance sensors is expected to reach a staggering US$12.35 billion by 2030. TiaLinx’s innovative EagleVU24 software is well-positioned to meet the increasing demand for advanced sensing technologies in safety-critical applications.

For more information about this ground-breaking technology, TiaLinx, Inc. encourages individuals to visit their official website at www.TiaLinx.com.

For press inquiries, please contact:
Naz Mansourian at [email protected]
or (949) 748-1911

Source: TiaLinx, Inc.

In conclusion, TiaLinx’s innovative EagleVU24 software represents a significant advancement in imaging technology, offering a sophisticated solution for industries requiring precise object detection in visually challenging environments. This breakthrough paves the way for enhanced safety measures and applications in various sectors, contributing to the growing demand for advanced sensing technologies in future safety-critical applications.