Recent advancements in computer vision and deep learning have enabled the development of highly automated inspection systems, capable of rapidly and accurately identifying both overt and micro ...

Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

Computer Vision (CV) has evolved rapidly in recent years and now permeates many areas of our daily life. To the average person, it might seem like a new and exciting innovation, but this isn’t ...

Researchers have developed an autonomous electric vehicle prototype designed to navigate challenging urban roads. The vehicle ...

As deep learning continues to evolve, computer vision is becoming less about pixels and more about perception. With contributors like Neha shaping the future through both academic and applied AI ...

Convolutional neural networks (CNNs) are a class of deep neural networks commonly used in computer vision tasks such as image and video recognition, object detection and image segmentation.

Let’s understand how automation, big data, computer vision and deep learning are related and can work together in the context of cryptocurrencies and blockchain technology, using fraud detection ...

The novel technique is based on the VarifocalNet deep-learning object detection framework, which was reportedly tweaked to achieve quicker and more accurate results. Compared to other such methods ...

Now, a team of researchers has developed a novel Internet-of-Things-enabled deep learning-based end-to-end 3D object detection system with improved detection capabilities even under unfavorable ...