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Detectum – Faster than any other Cutting-Edge Object Detector Model
Detectum is a deep learning neural network algorithm that can run on very low power. Xailient created Detectum to fulfill the need for fast deep learning model inference at the...
Xailient Protects Australian Bees with Solar-Powered Computer Vision AI
Thanks to Xailient’s accurate computer vision AI, bee-killing Varroa Mites can be detected instantly, allowing beekeepers to intervene and stop the spread to other hives. This...
What is Edge Computing and What Does Its Future Promise?
Vast amounts of data need to be processed because of the growth IoT devices. This is only going to get worse as times goes on. That’s why companies are turning their attention to...
4 Popular Model Compression Techniques Explained
Model compression reduces the size of a neural network (NN) without compromising accuracy. This size reduction is important because bigger NNs are difficult to deploy on...
Xailient Created CVOps for Edge Computer Vision at Scale
Hands down, Edge Computer Vision (CV) delivers significant advantages over the cloud. From lower costs to improved latency, security, battery life, and integration between...
Be there for Your Child’s Learning with Xailient’s Virtual Reader
We are at a time where AI technology is within reach of every innovator. Like every new technology, it has opened countless possibilities and the BeWithMeReader virtual reader is...
Xailient Detectum Speeds Up Myriad 2 and Myriad X
Computer vision software needs hardware, and innovations from silicon manufacturers combined with Xailient Detectum are accelerating the move to AI at the edge. The Movidius™...
How to Choose the Right AI Training Data
Choosing the right AI training data is crucial if you are to have a successful application. So why does no talk about the essential process of data engineering? Artificial...
Face Detector Comparison on a Resource-Constrained Device
Here we will run a face detector comparison between OpenCV Haar Cascade, Xailient Dectum, Dlib, and MTCNN Face detectors on a low-powered, resource-constrained device. The face...