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Researchers detect and classify multiple objects without images

WASHINGTON — 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 ...
Semiconductor Engineering

Issues And Challenges In Super-Resolution Object Detection And Recognition

If you want high performance AI inference, such as Super-Resolution Object Detection and Recognition, in your SoC the challenge is to find a solution that can meet your needs and constraints. You need ...
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 ...
Science Daily

Innovative bird-eye-inspired camera developed for enhanced object detection

The eyes of raptors such as eagles can accurately perceive prey from kilometers away. Is it possible to model the camera technology after the bird's eyes? Researchers developed a new type of camera, ...
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 ...
The Next Web

FOMO is a TinyML neural network for real-time object detection

This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...