With growing concern over microplastics from ocean waste, autonomous underwater vehicles — AUVs — have been proposed as a tool for cleaning up our seas, but only if they can pick the plastics out from the fish: Enter these tweaked EfficientDets, boosting accuracy for the task.
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ORGANIZATIONS. SHAPING THE INDUSTRY.
Axelera AI
Semiconductor Manufacturing
Creating a powerful, efficient, and competitive AI-native hardware & softwa...
3 Posts
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Designed to monitor the whole sky for signs of meteors, which can be traced back to their cometary origins, the CAMS project has recently received a big upgrade to its detection and visualization pipeline — with the SpaceML project bringing citizen scientists into the mix.
A novel approach to visual speech recognition that carefully designs the VSR model rather than increasing the size of the training data.
Research from MIT suggests that a certain type of robust computer-vision model perceives visual representations similarly to the way humans do using peripheral vision.
In this episode, we talk about how UAVs are being deployed to control destructive pigeon populations and to study bottlenose dolphin populations.
This 3D vision system for a mobile robot picker consists of an AMR with a robotic arm equipped with the Photoneo 3D camera MotionCam-3D. The hand-eye setup allows you to scan and approach each object from an appropriate angle, distance, and position.
Precise and fast dimensioning of objects moving on a conveyor belt enabled by Photoneo's novel technology of Parallel Structured Light.
2 minutes read
Designed to address the risk to front-line staff from COVID-19, this autonomous swab-sampling robot is designed to take the human element out of sample gathering.
With research suggesting feral pigeons do as much as $1.1 billion in damage in the US alone, a project which pairs a commercial drone with machine learning to scare them away — without injury — could prove key to their control.
5 Questions to Ask Before Getting Started with Data Annotation: What is data annotation? Why is it essential? What are common label types for models? How do AI-powered data annotation tools help with the computer vision labeling process? What’s the best way to get started?
4 minutes read
Developed at Google Research, HyperTransformer decouples the task space and individual task complexity to generate all model weights in just one pass — while also offering support for unlabeled sample ingestion.
Designed to dramatically reduce the amount of training data needed for an image recognition system, this one-shot approach "inspired by nativism" takes a leaf from humans' ability to intuit and abstract.
Considered obsolete since the introduction of vision transformers, ConvNeXt proves there's life in convolution yet — outperforming its rivals by adopting some of their own tricks.
MotionCam-3D by Photoneo enables 3D scanning & handling of objects that are moving on an overhead conveyor without interruption. The camera provides high-quality 3D data even while the objects are moving, swinging, or slightly rotating.
Wearable sensors plus computer vision could reduce the likelihood of degenerative joint disease.
3 minutes read
