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Visual Anomaly Detection Technology(VADT)
NVIDIA GTC Korea, 2019
You can't protect what you can't see!
김정배
FOUNDER / CEO
PhD KAIST, 삼성전자
Leadership
Established: June 9, 2016
Location: Pangyo Techno Valley, Korea 황영규
FOUNDER / CTO,COO
MS Univ of Wisconsin- Madison
삼성전자, SKT
곽노준
ADVISOR
Advisors
Bow Rodgers
ADVISOR
서울대학교
융합과학기술대학원
학생부 원장
Plug and Play Silicon
Valley
EIR
President of Sprint
김준모
ADVISOR
KAIST
전기및전자공학부
교수
R&D Team
32 Researchers
Data Team
10 managers
80+ labelers
Man Power
Training Data Generation
Computer Vision
Graphics etc.
Expertise
AI Training Data Solution
Face Recognition
VADT
Product
Overview
Alchera’s product in the early days
Jun 2016
Jul 2016
Sep 2016
2017
History
2016
Feb 2017
May 2017
Jun 2017
Aug 2017
Jan 2018
May 2018
Jun 2018
Jul 2018
Aug 2018
Sep 2018
Dec 2018
2019
2018
Jan 2019
Feb 2019
Mar 2019
Our Customers
Business Division
Construction of TrainingTest Image DB
Mobile Deep Learning Tech Development of Mobile AR App
Data Business AI Business AR Business
10
Face Analysis & Recognition
11
Face Analysis & Recognition
12
Face Analysis & Recognition
Visual Anomaly Detection Technology(VADT)
NVIDIA GTC Korea, 2019
You can't protect what you can't see!
Alchera Inc.
Confidential. Copyright 2019. All rights reserved.
15
Confidential. Copyright 2019. All rights reserved.
16
$2B
Preventing
Outage Cost
in 2017
46 yrs.
Average age
of linemen in 2017
1568Injuries over 10 years
Korea
Top 10Deadliest
profession
$169BNational
outage loss
86+Lives lost
in 2018
USA
Visual Anomaly Detection Technology System
VADT (Underground Transmission Monitoring)
•지하 송전선 모니터링
임베디드 보드
(Jetson Tx2)
-Inference Engine
-WIFI
지중전력구 로봇
Monitoring Devices AI based visual tracking Analysis
LWIR Feature Extraction Tracking
VADT (Overhead Transmission Monitoring)
VADT (Overhead Transmission Monitoring)
•산불감시
Fire Detection
VADT (Overhead Transmission Monitoring)
•산불감시
VADT (Overhead Transmission Monitoring)
•산불감시
Train your own dataset
Fully customizable
Low power consumption
Fast & Lightweight
Cloud, server, drone, or edge devices
Install anywhere
Alchera’s VADT Features
VADT R&D Issue
Positive Sample
Negative Sample
Negative Sample
VADT Data (Positive Sample- Real Data)
VADT Data (Positive Sample- Synthetic Data)
VADT-Data
• Where does AI contribute for data generation?
Labeling
Your AI model Training
Manually Keyframing
Manually monitoring AI model performance
Raw data(each service)
VADT-Data
• Where does AI contribute for data generation?
Raw Data Gathering Keyframing
DataLabeling
AI ModelTraining
69%8%
18%
5%
AI Model
Raw data(each service)
AI model LabelingKeyframing
Your AI model Training
VADT-Data
• AI can save us an exhausting process…
VADT-Data
• Uncertainty would be useful for VADT
High uncertainty
Need Labeling and AI Training
Conclusion
• Camera based Anomaly Detection is a key technology for real-time monitoring and protecting Plants and Utility industry.
• Strategies of getting AI training dataset is essential.
• VADT needs various technologies to generate AI training dataset.
• contact : [email protected]
