AI/IOT
Service Overview
With over 20 engineers, we are one of a few companies offers both consultants and development engineer crews in AI field. We have great Data Sciencetist, Deep Learning Engineer, Machine Learning Engineer, together with BPO data labeling service, improve accuracy to save cost for customers. Java, Python, Lisp, Prolog…are development languages, implement with auto-train, re-train model gave us a lot of expeiences in building project from scratch.
AI Service
- Text RecognitionRecognize text, picture, sounds by predefined data. OCR technology only implemented if other technology can't read the text type, to ensure the speed of text reading.
- Image ProccesingProcess image from camera to sort out key parameters như age, gender of the customers. We also use open source code libraries to process image like Opencv, VXL,...and machine learning framework as TensorFlow or Pytorch... We also use deep learning neutral network as GANS, DNNS...
- Natural Language ProcessingA technical research in the interaction between computers & human. At BAP, we research chatbot applications that are capable of extracting data or application that can search, analyze user's hobbies, opinion from blog or social media platforms.
- Voice RecognitionA technique to process natural language through sounds. At BAP, we do voice recognition and summarization, helps computers understand human's order and transform text data into voices.
- Traing-cost optimizationSecure personal information, conduct Cost&Scale-up on Kubernetes system using AI.
Forecast Time Series on AWS
Overview – Predict power consumption of various sites based on past data and weather data. – Serverless system running on AWS – Collect data from IOT Advantages – Cost savings – Environmental protection – Avoid wasting energy Problem – Real-time processing – Build on...
Human Resource Optimization
Overview: Advantages: – Save cost and training efforts – Avoid redundant resources and employees. – Save cost – Help people recognize health problems from a very early stage – Become a reliable reference to doctor when diagnosing and making decisons...
Medical Image Analysis
OVERVIEW – Procedures such as detecting tumors, artery stenosis, organ delineation employ various different methods and frameworks like MapReduce to find optimal parameters for tasks like lung texture classification. – It applies machine learning methods, support vector machines (SVM), content-based medical image indexing, and...
SHARINGAN – AI CAMERA SYSTEM
Overview Sharingan is a Smart System with core technology is facial identification by Artificial Intelligence. The system provides 2 main services: Automatic Attendance Automatic Surveillance Demo Automatic Attendance Fast Accurate identification Easily deploy and leverage enterprise infrastructure Can time attendance many people at the...
Image Captioning
Problem: Image Captioning Given an image, our goal is to generate a caption. Input: Image Output: Caption for image Solution For this problem, we use will use InceptionV3 (which is pre-trained on Imagenet) to classify each image. We will extract features from the last...
Human Semantic Segmentation
Overview for Semantic Segmentation For segmentation, demonstrates the steps to use the DeepLab model to perform semantic segmentation on a sample input image. Expected outputs are semantic labels overlayed on the sample image, such as some of examples including. Atrous Spatial Pyramid Pooling (1/2)...
