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Point Cloud Denoising with Sparse Modeling

Hi! I'm Yushiro Yamashita, a data scientist intern for HACARUS. I’m a student and I study plasma simulation at graduate school. HACARUS provides various AI services using sparse modeling. Today, I will like to introduce the application of sparse modeling to point cloud data.  Point Cloud I want to first start by introducing what point cloud is. Point cloud is a three-dimensional data in which the coordinate values of each point are recorded in a format such as (x, y,…

Edge AI Evangelist’s Thoughts Vol1: Is NVIDIA’s acquisition of Arm going to propel RISC-V?

Hello, I'm Haruyuki Tago, Edge Evangelist at HACARUS Tokyo R&D Center. In this series of articles, I will share some insights from my decades long experience in the semiconductor industry and comment on different AI industry related topics from my unique perspective. Since this is the first time, I'll start by introducing myself. In 1977, I joined the semiconductor division of Tokyo Shibaura Electric Co. and was involved in the design and development of the Emotion Engine, the CPU in…

You can work from anywhere in the world!

An interview with two students who are working as interns at HACARUS while attending university in Canada. We currently have two university students living in Canada who are working as data science interns for HACARUS. During the Coronavirus outbreak, we proactively embraced diverse ways of working, allowing people to work remotely. We made it possible to work from anywhere, regardless of where someone was and, surprisingly, two students studying abroad at a local Canadian university were hired as interns. HACARUS…

New Automatic Parameter Tuning feature in SPECTRO

Customers can now try the beta version available in SPECTRO Cloud SPECTRO’s flexibility to deal with different inspection objects comes from the ability to tune inspection model parameters to determine the way that SPECTRO looks at the target and how strict or tolerant it treats detected anomalies or defects. Finding the right parameters can be a time consuming task, but with our new auto-tuning feature SPECTRO can autonomously help customers find suitable parameters for an inspection task - significantly reducing the…

Hyperspectral Imaging and Sparse Modeling – Practical Experiments

This is Ryuji Masui, Data Scientist at HACARUS. In this article, I'm going to focus on how to apply Sparse Modeling to Hyperspectral Imaging, a technology HACARUS has strong interest in. Hyperspectral Image Let's start off by explaining what Hyperspectral Images (HSI) are. Normal cameras that are familiar to us are called RGB cameras, based literally on the three primary colors of light: red, green, and blue. Such cameras sense each wavelength to capture images. In simpler terms, by mixing…

Digital Imaging and Communications in Medicine(DICOM) Annotation using Computer Vision Annotation Tools(CVAT)

TL;DR - CVAT was used as an annotation tool for medical AI development - CVAT was adjusted to be compatible to read DICOM - A class to read in DICOM was added to cvat/apps/engine/media_extractors.py - Some features that will be useful in real projects, such as default label settings were also added 1. About CVAT Hello, my name is Yuya Sumie, an intern at HACARUS. In order to develop machine learning algorithms, we need to know how to finalize the…

Human Pose Estimation Experiment

Today's blog will be delivered by Yoshinobu Ogura, Data Scientist at HACARUS. Hello, my name is Yoshinobu Ogura, and I am a HACARUS Data Scientist. In this article, I will be using deep learning to estimate human skeletal structure - known as "Human Pose Estimation". About Human Pose Estimation The final goal aim of this article is to create a baseline for Human Pose Estimation. Human Pose Estimation is a technique to model the human skeleton from images, which is…

AI Operating On CPU

SPECTRO CORE

A toolkit for your EDGE visual inspection use cases. With a focus on execution speed at the EDGE, we have created a native  library supporting SPECTRO's main inspection algorithms. The ability to integrate SPECTRO's inspection features with industrial equipment has been a frequent request by our customers - today we are excited to announce that this feature is now available! CPU only – no GPU required By using SPECTRO CORE, system integrators or machine manufacturers can easily execute SPECTRO’s core inspection…

Advanced Applications of Sparse Modeling for Image Processing – Deficit Interpolation, Anomaly Detection, and Super-Resolution

This article originally appeared in Japanese on Codezine, below follows HACARUS translation of the same: This series of articles is for engineers who want to jump into machine learning and who have experience with deep learning and machine learning. The focus will be on a technique called "sparse modeling" - where you can perform analysis without large amounts of data. In the last article, image reconstruction using dictionary learning was covered. This time, three advanced methods will be introduced: deficit…

Sparse Modeling Study Sessions: A Convex Optimization Approach to LASSO – What is the Convex Optimization Problem?

In this article, Takahiro Suzuki, a data scientist at HACARUS explains the convex optimization problem covering all the basic terms you need to understand it. 0. Introduction My name is Takahiro Suzuki, data scientist in the HACARUS Tohoku team. As mentioned in a previous blog,  HACARUS has started study sessions to learn more about sparse modeling as part of our everyday business. The Sparse Modeling Study Sessions are contributing to the promotion of mutual knowledge exchange among HACARUS members -…