We focus on AI research with deep learning-based image recognition and have delivered practical solutions for quality inspection, anomaly detection, pose estimation, and facial recognition in manufacturing and sports fields.
More recently, we have developed generative AI services, such as “AI RECOMEN” and “AI Concierge,” for improved operational efficiency and user experience.
Connecting People and Society through R&D
i-enter creates new value for lives and society through technology. Our focus is on research and development. With AI technology, we improve efficiency and address social challenges. Now, we are building a foundation for broader solutions with quantum computers.
Research Areas
Here are our main research areas we are currently working on.
AI Development
Quantum Computers
We are researching quantum computing technology for complex optimization and precise simulations, which are difficult for AI. Now, we study solution-layer application development using quantum cloud and open-source tools.
Going forward, we aim to create quantum solutions for social issues through PoC, university collaboration, and integration with AI.
Our Patented Technology
Fish Size Estimation Device
(Patent No. 6694039)
Patent granted in April 2020
This patent uses deep learning and stereo cameras to measure swimming fish without contact. It calculates length and height from underwater position data, reducing errors and stress compared to manual methods.
Pose Estimation Learning System
(Patent No. 6868875)
Patent granted in April 2021
This patent is for a system that uses virtual space to build pose estimation models. Previously, manual data creation took time and cost. Now, 360-degree motion is auto-captured with 3D models, and skeletal data is collected at once, speeding up AI development.
From Research to Practice
Our R&D technologies are used in real projects, helping solve social issues and improve operations.
Here are some achievement examples from our research.
i-enter Sports-Tech Lab
We use AI, IoT, and XR to address sports industry challenges. In curling, our systems analyze form with pose estimation, measure sweeping strength, and visualize stone paths. These research-based tools enhance athletic performance with IT.
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i-ocean
We promote Marine Tech for fisheries using AI and IoT. Tools like the Fish Size Estimation Camera for contactless measuring and the IoT Water Quality Sensor for 24/7 monitoring reduce workload and boost quality, supporting smart aquaculture.
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AI RECOMEN
We developed “AI RECOMEN,” an AI interview tool. It offers AI-powered recruitment and practice modes for companies and students, helping standardize evaluations and address experience gaps.
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AI Concierge
We developed the voice-interactive AI system “AI Concierge” to streamline municipal work. It detects visitors and responds with an on-screen character. AI handles initial desk tasks, reducing staff burden and improving service quality.
Learn moreCo-Creating Solutions for Social Issues
Professor Fumito Masui, Kitami Institute of Technology
Director, Center for Winter Sports Science
Expertise
Natural Language Processing, Curling Informatics, Tourism Informatics, Educational Engineering
Research
Developing fast motion analysis for curling (studying pose estimation using high-speed cameras), and preliminary research on curling motion analysis (applying Perception Neuron for pose estimation)
Professor Haruhisa Fukada, Kochi University
Expertise
Fish Nutritional Physiology
Research
Research on yellowtail weight estimation algorithms (studying methods to estimate yellowtail weight from size data measured by fish body cameras)
Professor Yutaka Takeuchi, Kanazawa University
Expertise
Aquatic Biology and Environmental Science
Research
Development of aquaculture management systems (using webcams to monitor aquaculture tanks, fish activity, and water flow/aeration conditions).