Auto-Parking Project

Summary

System which used segmentation to aid in parking for self-driving cars.

scale Scale

100 Members

team Team

Annotators
QA

method Method

Segmentation

Work flow
  1. Receive data from customers
  2. Image labelling
  3. Primary inspection
  4. Secondary inspection
  5. Data delivery
Result
  • Images Processed in 1 Month: 264,000
  • Accuracy Rate: Over 99%
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Semantic Segmentation Project

Summary

Project to label training data for AI in an autonomous driving system using 3D and 2D tools.

scale Scale

42 Members

team Team

Annotators
Modifier
QA

method Method

Bounding box

Work flow
  1. Receive data from customers
  2. Image labelling
  3. Secondary inspection (Modifier)
  4. Final review (QA)
  5. Data delivery
Result
  • Data Processed in 1 Month: 132,000 images
  • Accuracy Rate: Over 98%
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Manual Annotation

Summary

Project to develop a system for target control and optimization of repetitive, decentralized factory work.

scale Scale

25 Members

team Team

Annotator
Inspector
QA

method Method

Point
Pixel Annotation

Work flow
  1. Receive Data from Customer
  2. Confirm Specifications
  3. Image-Labelling
  4. Primary Inspection (Self-check)
  5. Secondary Inspection (QA)
  6. Data Delivery
Result
  • Productivity: 160 Images per day
  • Accuracy: Over 99% (including Dialect)
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Vietnamese Audio Transcription for Speech Recognition System

Summary

Computer-aided real-time transcription system to convert voice into text for the Vietnamese National Assembly and local government councils.

scale Scale

100 Members

team Team

Annotator
Inspector
QA

Work flow
  1. Annotation Tool Development
  2. Audio Data Collection
  3. Data Labeling
  4. Machine Learning
  5. Build with Machine Learning Model
Result
  • Processed data: 2,000+ hours of audio
  • Accuracy Rate: 95% (including Dialect)
  • Reduced Workload: 60%
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Early Processing for i-Reporter

Summary

Putting equipment-checking forms (excel, templates, etc), used in the customer’s nuclear power plants, and bringing them online to report anytime and anywhere using tablets or iPhone.

scale Scale

32 Man-Months

team Team

Annotators
QA
PM

Work flow
  1. Design excel template
  2. Edit excel interface
  3. Set Cell Clusters
  4. Import to Comas Designer Tool to check & install more features
  5. Use Windows i-Reporter to check the Actual Interface
  6. Export the completed excel file
  7. Review the results
  8. Data Delivery
Result
  • Data Processed in 1 Month: 350
  • Accuracy: Over 90%
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