VentureBeat

Overview of deep learning architectures computers use to detect objects

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...
Science Daily

Researchers detect and classify multiple objects without images

Researchers have developed a new high-speed way to detect the location, size and category of multiple objects without acquiring images or requiring complex scene reconstruction. Because the new ...
The Next Web

Here’s how deep learning helps computers detect objects

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...
Business Wire

Quanergy Announces World’s First 2D 360° PoE LiDAR Sensor

SUNNYVALE, Calif.--(BUSINESS WIRE)--Quanergy Systems, Inc., (NYSE: QNGY) (“Quanergy”) a leading provider of LiDAR sensors and smart 3D solutions, today announced the M1 Edge PoE LiDAR sensor, building ...
Semiconductor Engineering

Radar vs. PIR: Selecting the Right Solution

As radar technology continues to advance, it offers an increasingly broad range of capabilities, making it a viable alternative to traditional passive infrared (PIR) sensors. With radar’s enhanced ...