In the realm of edge intelligence, emerging video analytics applications are often based on resource constrained edge devices. These applications need systems which are able to provide both ...

There was a time when making a machine to identify objects in a camera was difficult, even without trying to do it in real time. But now, you can do it with a Jetson Nano board for under $60. How w… ...

This letter presents the development of a real-time object detection system using frequency modulated continuous wave millimeter-wave (mmWave) radar signals and the python productivity for zynq ...

This project demonstrates the implementation of the Single Shot MultiBox Detector (SSD), a state-of-the-art object detection algorithm, for real-time object detection. SSD is designed to be fast and ...

Real Time object detection is a technique of detecting objects from video, there are many proposed network architecture that has been published over the years like we discussed EfficientDet in our ...

The CFX Opus Deepwell System has been added to the Bio-Rad™ portfolio of CFX Opus Real-Time PCR instruments. With a 96-well block, the CFX Opus Deepwell System was designed to offer ...

Object detection models are much more complex than image classification networks and require more memory. “We added computer vision support to Edge Impulse back in 2020, and we’ve seen a ...

After introducing interrupts and the foreground/background architecture, I am finally ready to tackle the concept of a Real-Time Operating System (RTOS).In this first lesson on RTOS (commonly ...