DopikAI team will discuss with the customer to analyse the requirement and the feasibility of the project. The two parties will agree on the features and minimum performance of the system.
Are you looking for an integrated Artificial Intelligent (AI) solutions to improve the business process? With years of experience in AI system R&D, DopikAI is well versed in cutting-edge AI, Machine Learning (ML), and Big Data tool sets to help you solve your business challenges.
Specialized in Document Analysis, Document Image Recognition, OCR, Computer Vision, Conversational Chatbot, DopikAI is able to customize and optimize the services following your requests. The completed technology will be transferred to be independent and fully-owned by your company.
Legal Documents Recognition
Automatic documents handling in SMEs and government organizations.
The software is optimized for legal documents text extraction and automatic documents handling in government organizations and businesses. This helps to reduce manual tasks and improve efficiency.
Technologies: Document Image Analysis, OCR, Text Indexing and Retrieval
Invoice recognition
Text extraction from invoices, documents and images.
Our technology extracts text from scanned documents, invoices and images, converting them into meaningful digital data for subsequent use or archiving purposes.
Technologies: Document Image Analysis, OCR, Text Indexing and Retrieval
ID card recognition
ID Card data extraction software.
Our ID card recognition software uses a combination of image processing, object detection, image to text translation to analyze and extract personal information on ID card photos.
Technologies: Object Detection, Image to Text Translation
eKYE: Office Check-in Application
Office Check-in Application with facial recognition technology.
Our eKYC solution helps to authenticate people through cameras with facial recognition technology for staff monitoring and security surveillance.
Technologies: Face recognition
DopikAI team will discuss with the customer to analyse the requirement and the feasibility of the project. The two parties will agree on the features and minimum performance of the system.
Ph.D Sonny VU
best student paper and best inquisitive mind at CICLING2018
best paper 3rd place at CICLING2019
Top 10 (ranked 7 th) semi-finalists of CIKM AnalytiCup 2017: Product Title Quality Challenge having 469 participants
Ph.D Sonny VU
best student paper and best inquisitive mind at CICLING2018
best paper 3rd place at CICLING2019
Top 10 (ranked 7 th) semi-finalists of CIKM AnalytiCup 2017: Product Title Quality Challenge having 469 participants