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“Introduction to DNN Model Compression Techniques,” a Presentation from Xailient

Sabina Pokhrel, Customer Success AI Engineer at Xailient, presents the “Introduction to DNN Model Compression Techniques” tutorial at the May 2021 Embedded Vision Summit. Embedding real-time large-scale deep learning vision applications at the edge is challenging due to their huge computational, memory, and bandwidth requirements. System architects can mitigate these demands by modifying deep-neural networks […]

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Integrate Face Detection in Your Application

This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Don’t be overwhelmed, because adding face detection to your applications has never been so easy! A lot of the times, face detection is not the primary focus of the application but is an important component and many

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Maxim Integrated Teams with Xailient to Provide World’s Fastest and Lowest-Power IoT Face Detection

MAX78000 AI microcontroller and Xailient’s Detectum neural network detects and localizes faces in video and images at just 12ms per inference SAN JOSE, Calif., July 27, 2021 /PRNewswire/ — Maxim Integrated Products, Inc. (NASDAQ: MXIM) and Xailient Inc., a company focused on artificial intelligence (AI) for the edge, today announced that Maxim Integrated’s MAX78000 ultra-low

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You Need to Move from Cloud Computing to Edge Computing Now!

Paper cut cloud looking at the clouds (Image by rawpixel from Pixabay) This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Edge Computing market size is expected to reach USD 29 billion by 2025. In this decade there has been a transformational movement from on-premise Computing

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Challenges of Running Deep Learning Computer Vision on Computationally Limited Devices

Clear vision using glasses (Photo by timJ on Unsplash) This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Autonomous driving, facial recognition, traffic surveillance, person tracking, and object counting, all of these applications have one thing in common, Computer Vision (CV). Since the success of deep

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Struggles of Running Object Detection on a Raspberry Pi

Frustrated man (Image by Gerd Altmann from Pixabay) This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Have you ever been so excited after reading a how-to tutorial or a github readme file, only to discover after following it through that it is not really as

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Model Compression: Needs and Importance

Smart City connected by IoT (Image by Tumisu from Pixabay) This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Whether you’re new to computer vision or an expert, you’ve probably heard about AlexNet winning the ImageNet challenge in 2012. That was the turning point in computer

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The Battlefield of Cutting Edge Face Detectors

This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Face detector is one of the most commonly used AI component today. Whether you are building a system to count the number of people in a room or a home security system that unlocks the door when

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Real-Time Vehicle Detection with MobileNet SSD and Xailient

This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. From vehicle counting and smart parking systems to Autonomous Driving Assistant Systems, the demand for detecting cars, buses, and motorbikes is increasing and soon will be as common of an application as face detection. And of course,

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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