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VOXL 2 Runs 5 Simultaneous Neural Networks with TensorFlow Lite

VOXL 2 Runs 5 Simultaneous Neural Networks with TensorFlow Lite

Jul 06, 2022 Posted by: Lauren Young newsletter

The ultimate eyes in the sky.

Object detection uses localization and classification data to categorize and describe the location of objects.

Image classification is used to classify the most important features in an image, and can provide similar information to an object detector at a much faster speed. Depth estimation is a crucial computer vision feature for autonomous drones and

ground robots as it allows them to perceive their environment and navigate safely and autonomously.VOXL 2 can use human pose estimation to identify points in a person’s face, body, arm, and leg, with four key points per category. Pose estimation enables developers to track a person, or multiple people, in real time and monitor or study their movements.

Image segmentation divides portions of the images your robot detects into segments, creating a pixel-based mask of each object. By eliminating regions that don’t contain pertinent information (think of the boxes from object detection), image segmentation identifies an accurate shape of each object.

We loved seeing you at the PX4 Developer Summit! Aug 22, 2022

Introducing VOXL 2: 16g Blue UAS Framework 2.0 autopilot Apr 25, 2022