Convolutional Neural Network - KickView Tech Blog

IR Facial Detection and Recognition

Facial detection and recognition is being integrated into devices we use everyday, from cell phones to ATM machines. What happens though, when the lights go out?

intelligent video analytics

Real-Time Intelligent Video Analytics For Your Applications

If your mission is to deploy effective edge processing solutions while having direct access to expert machine learning resources and support, then this blog post is for you.

AI

No GPU Required: Real-Time Inference with Optimized Networks in kvSonata

The rise of deep learning ran in parallel with advancements in GPU technology. As GPUs got faster, mostly fueled by the high demand for powerful graphics cards in the world of gaming, researchers started to train the high-capacity neural networks that quickly evolved into the well known CNN architectures of

Deep Learning

Choosing a Convolutional Neural Network Architecture for Real-Time Object Tracking (Part 2)

This is part 2 of 3 in a series about selecting appropriate network architectures for real-time object tracking. In part 1 we compared the inference speed of various existing object detection networks. Now we turn our attention to accuracy metrics. We will examine some commonly used metrics such as mean

Deep Learning

Choosing a Convolutional Neural Network Architecture for Real-Time Object Tracking (Part 1)

In a previous blog post we talked about how to train a convolutional neural network(CNN) for object detection in images. Object detection combines classification and localization. One use for object detection is in the problem of object tracking in video data. Advances in deep learning have opened doors to

Deep Learning

Modulation Recognition Using Deep Learning

In this blog post, we'll talk about how to apply deep learning to modulation recognition, a challenging problem that has many applications in the digital communications world.

Convolutional Neural Network

Signal Detection Using Deep Learning

There are many resources for learning how to use Deep Learning to process imagery. However, very few resources exist to demonstrate how to process data from other sensors such as acoustic, seismic, radio, or radar. In this blog post, we will introduce some basic methods for utilizing a Convolutional Neural