AINRG – NECTEC : National Electronics and Computer Technology Center https://www.nectec.or.th/en ศูนย์เทคโนโลยีอิเล็กทรอนิกส์และคอมพิวเตอร์แห่งชาติ Mon, 10 Mar 2025 08:38:13 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.3 https://www.nectec.or.th/en/wp-content/uploads/2019/03/favicon.ico AINRG – NECTEC : National Electronics and Computer Technology Center https://www.nectec.or.th/en 32 32 Image Processing and Understanding Team (IPU) https://www.nectec.or.th/en/research/ainrg/ipu.html Mon, 10 Mar 2025 07:12:31 +0000 https://www.nectec.or.th/en/?p=21446

The Image Processing and Understanding (IPU) Research Team focuses on advancing the field of computer vision by developing innovative techniques for analyzing and interpreting visual data. Our work spans a wide range of applications, from fundamental research in image enhancement and object recognition to applied solutions in medical imaging, industrial automation, and intelligent surveillance.

We specialize in cutting-edge methods such as deep learning-based vision models, multi-modal data fusion, and explainable AI for image analysis. By integrating state-of-the-art algorithms with real-world datasets, we aim to push the boundaries of automated image understanding and make visual intelligence more accessible and impactful.

Collaboration is at the heart of our research. We work closely with academic institutions, industry partners, and governmental organizations to translate our findings into practical solutions.

Vision 

AI vision for real-world applications

Mission 

  • R&D in AI for Image, Video, and 3D technologies for real-world problems.
  • To collaborate with partners applying technologies to benefit Thai society.
  • To share knowledge with external researchers and students.

Core Technology

  • Face Verification
  • Object Detection
  • Image Captioning
  • Action Recognition
  • Image Classification
  • Object Tracking
  • Image Segmentation
  • Image Enhancement
  • 3D Data Analysis

Renow Projects

  • Face Verification for Red Cross
  • AI for Thai API services
  • Medical AI Platform
  • Rice Disease Linebot

Members & Expertise 

  • Dr. Sanparith Marukatat: Deep Learning, Medical AI, Multi-modal model
  • Mr. Wasin Sinthupinyo: CCTV, AI in agriculture
  • Ms. Sarin Watcharabutsarakham: Object Detection & Segmentation
  • Dr. Duangrat Gansawat: Medical AI
  • Dr. Sitapa Watcharapinchai: Person Analytics, Video Processing
  • Ms. Kantip Kiratiratanapruk: AI in agriculture, Image Search
  • Dr. Sutat Sae-Tang: Pattern Recognition, AI in livestock
  • Dr. Sorn Sooksatra: Deep Learning, Action Recognition and Localization
  • Dr. Theerasit Issaranon: Deep Learning, Multi-modal model, OCR
  • Dr. Buntita Pravalpruk: Pattern Recognition, OCR
  • Ms. Nonlapas Wongwaen: 3D model, Computer Graphics & Visualization
  • Mr. Wisarut Bholsithi: Computer Graphics & Visualization
  • Ms. Pitchayagan Temniranrat: Multi-modal model, AI in agriculture
  • Ms. Phattharat Songthung: Medical AI

Contact

Image Processing and Understanding Research Team (IPU)
Artificial Intelligence Research Group (AINRG)
National Electronics and Computer Technology Center (NECTEC)
email : ipu[at]nectec.or.th
Tel. : (+66) 02 5646900 ext 2246

]]> Speech and Text Understanding Research Team (STU) https://www.nectec.or.th/en/research/ainrg/stu.html Mon, 13 Jun 2022 10:17:24 +0000 https://www.nectec.or.th/en/?p=21474

Speech and Text Understanding (STU) lab conducts research and development in Thai spoken and written language technologies. The lab is engaged in wide range of R&D activities such as natural language processing, speech recognition and synthesis, information retrieval and extraction and knowledge discovered from texts. Such activities help enable computers to interact and communicate with humans with natural language capabilities.

สารบัญ

Vision 

To become the leading R&D lab in Thai spoken and written language technologies

Mission 

  • To achieve excellence in basic and applied research in Thai spoken and written language technologies
  • To collaborate with domestic and international research organizations.
  • To create and setup ecosystem for research in Thailand
  • To create the greatest economics and social impact through technology transfer

Core Technology

  • Speech Technology
    • Signal and Speech Processing
    • Speech Recognition
    • Speech Synthesis
    • Audio-visual technology
  • Text Processing and Mining Technology
    • Word Segmentation
    • Information Retrieval and Search Engine
    • Text Mining

Renown Project

1. VAJA: Thai Speech Synthesis
Vaja is a Thai text-to-speech software and has been extensively researched and developed since 1997. The most recent version Vaja 8.0 comes with the following ;

  • Able to synthesis all Thai words even some words are not occurred in the dictionary
  • Adding words to a custom dictionary such as, a named entity, etc.
  • Two languages (Thai and English) with one voice
  • Support multiple platform such as, Windows (Microsoft Speech APIs), Linux Enterprise (Web APIs) และ Android (Android APIs)

2. Partii: Automatic Thai Speech Recognition
Partii is a Thai speech recognition system, which converts speech signal to text. This project has been researched since 2013. The current version is Partii 4.0 comes with the following ;

  • Accuracy: 80% in quiet environment and 70% in quasi-noisy environment.
  • Real-time-factor: 1.5x
  • Supporting client and server streaming through gRPC protocol
  • Customizable system

3. S-sense: Social Media Monitoring
S-Sense is a tool for analyzing intention and sentiment on Thai social media. S-Sense can classify social media content into four intentions: request, question, announcement, and sentiment. The sentiment text can be further classified into either positive or negative. S-Sense can also analyze comparative sentence and identity association between sentiment and feature of the products or services.

  • Compatible multi-file format: plain Text (txt), Microsoft Word Document (doc, docx), Portable Document Format (pdf)
  • Support Thai and English document
  • Detect some modified technique such as, deletion, addition, insertion, swap, etc.
  • Customisable database
  • Highlight suspicious sentences with similarity percentage
  • Statistical report

Members & Expertise 

  • Vataya Chunwijitra, Ph.D (Automatic Speech Recognition, HMM-based Speech Synthesis)
  • Chaianun Damrongrat, Ph.D (Information Retrieval, Computer Vision, Augmented Reality, Knowledge Management, Mobile Application, Location-Based technology)
  • Ausdang Thangthai, Ph.D (Speech processing, Thai Text processing, Audiovisual Speech Synthesis)
  • Kwanchiva Thangthai, Ph.D (Multi-Modal Speech Recognition, Statistical Language Modeling)
  • Surasak Boonkla, Ph.D (Speech Processing, Voice Biometrics)
  • Pornpimon Palingoon (Linguistics, Corpus Linguistics, Lexicography)
  • Sumonmas Thatphithakkul (Linguistics and Phonetics)
  • Sarawoot Kongyoung (Big Data Analytic, Text Mining and Machine Learning, Sentiment Analysis and Opinion Mining, Information Retrieval and Search Engine, Natural Language Processing, Software Engineering, Visualization)
  • Supon Klaithin (Database Management System, Web Programming, Natural Language Processing)
  • Santipong Thaiprayoon (Web and Database Management System, Information Retrieval and Search Engine, Natural Language Processing, Text Mining, Plagiarism Detection)
  • Chatchawal Sangkeettrakarn (Information Retrieval, Search Engine, Question- Answering, Natural Language Processing, Mobile Application)
  • Kanokorn Trakultaweekoon (Web Programming and Design, Database Management System, Visualization)
  • Sittipong Saychum (Speech Synthesis Technology, Text analysis, Natural Language Processing, Embedded software development)
  • Phuttapong Sertsi (Speech Recognition, Computer Programming, Mobile App Development)
  • Nattapong Kurpukdee (Speech Synthesis, Text analysis, Computer Programming, Business Software Development, System and Database Administrator)
  • Watthanasak Jeamwatthanachai, Ph.D  (Smart Agent)

Contact

Speech and Text Understanding (STU)
Artificial Intelligence Research Group (AINRG)
National Electronics and Computer Technology Centre (NECTEC)
email: stu[at]nectec.or.th
Tel. : (+66) 02-564-6900 ext 2232

]]> Language and Semantic Technology Research Team (LST) https://www.nectec.or.th/en/research/ainrg/lst.html Mon, 13 Jun 2022 09:39:50 +0000 https://www.nectec.or.th/en/?p=21454

As a specialized laboratory for natural language processing (NLP) and semantic technology, we are driven to build and strengthen a technological foundation for the processing and automatic understanding of Thai language. Our research of interest includes the collection and construction of linguistic resources, the development of fundamental NLP service platforms, fundamental NLP tools (e.g. electronic dictionaries, word segmentation, parts-of-speech tagging, machine translation, and semantic web). We also employ NLP and semantic technology for advanced knowledge management in local cultural domains.

สารบัญ

Vision 

We endeavor to leverage the research and development of natural language processing and semantic technology in Thailand.

Mission 

  • To conduct research in natural language processing and semantic technology.
  • To develop fundamental service platforms for natural language processing and semantic technology
  • To disseminate the knowledge, know-hows, and linguistic resources to allied stakeholders

Core Technology

  • Corpus Technology
  • Deep Learning
  • Natural Language Processing
  • Machine Translation
  • Ontology
  • Semantic Web
  • Knowledge Graph

Renow Projects

Members & Expertise 

  • Dr. Prachya Boonkwan; Expertise: Natural Language Processing, Machine Learning, Knowledge Graph
  • Dr. Krit Kosawat; Expertise: Corpus Technology
  • Dr. Nattapol Kritsuthikul; Expertise: AI in Education, NLP Technology, Web service
  • Dr. Kanchana Saengtongpattana; Expertise: Semantic Technology, Wikipedia
  • Dr. Ye Kyaw Thu (Visiting Professor); Expertise: Natural Language Processing (including Myanmar sign language and Myanmar Braille), Machine Translation, Speech Processing and Human Computer Interaction
  • Dr. Akkharawoot Takhom (Postdoc Researcher) ; Expertise: Semantic Web and Ontology Engineering, Collaborative ontology development
  • Ms. Monthika Boriboon; Expertise: Linguistics
  • Mr. Dhanon Leenoi; Expertise: Cognitive Linguistics, WordNet, FrameNet
  • Mr. Taneth Ruagnrajitpakorn; Expertise: : Linguistics Ontology Design
  • Mr. Sittha Phaholphinyo; Expertise: Linguistics
  • Ms. Watchira Buranasing; Expertise: Digital Culture, Semantic Web Technology
  • Ms. Kanyanut Kriengkret; Expertise: Linguistics
  • Mr. Wasan Na Chai; Expertise: AI in Education
  • Ms. Sawittree Jumpathong; Expertise: Natural Language Processing, Corpus Technology
  • Mr. Pisal Taesuwan; Expertise: Corpus Technology
  • Ms. Pattaraporn Meeklai ; Expertise: Digital Culture
  • Mr. Peerachet Porkaew (Study) ; Expertise: Computational Linguistics, AI and NLP

Contact

Image Processing and Understanding Research Team (IPU)
Artificial Intelligence Research Group (AINRG)
National Electronics and Computer Technology Center (NECTEC)
email : ipu[at]nectec.or.th
Tel. : (+66) 02 5646900 ext 2246

]]> Artificial Intelligence Research Group (AINRG) https://www.nectec.or.th/en/research/ainrg.html Mon, 13 Jun 2022 03:09:11 +0000 https://www.nectec.or.th/en/?p=18781
Artificial Intelligence Research Group (AINRG), we perform R&D in Artificial Intelligence (AI) technology focusing on language, speech and image processing and provide technology transfer to Thai communities for easy accessibility and ability to apply the technology appropriately.

Vision 

Leader in bringing innovation related to Artificial Intelligence (AI) to Thai communities and users

Mission

  • R&D excellence in basic AI research
  • Construct basic resources for developing AI technology
  • Provide technology transfer of AI technology to communities and users
  • Create economic and social impact from AI technology

Core Technology

  • Image Processing and Understanding Technology
  • Language and Semantic Technology
  • Neural Signal Processing Technology
  • Speech and Text Understanding Technology

Challenges

AI technology can be applied for many problem domains, some examples are

  • Agriculture: Apply AI for prediction and recommendation in improve the cultivation process
  • Healthcare: Apply AI for patient pre-screening and analyzing medical images
  • Education: Apply AI for recommending appropriate educational contents
  • Manufacturing: Apply AI for factory planning and predictive maintenance
  • Service industry: Apply AI for assisting customers in responding requests and answering basic information

Research Team

Contact

Dr. Thepchai Supnithi
Artificial Intelligence Research Group (AINRG)
National Electronics and Computer Technology Center (NECTEC)
email : thepchai[at]nectec.or.th
Tel: (+66) 02-564-6900 ext. 2260

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