Presentation provided by one of Intel's AI Builder partners.

1. Applications of Intel AI
QuEST Global- Intel AI Builders SI Partner
Create the Frontier
Leading Global Product Engineering and Lifecycle Services Company
Rubayat Mahmud
Director of Sales and Biz Dev
Quest Global Services
Rubayat.Mahmud@Quest-Global.com
480-334-7438

2. © 2019 QuEST. All Rights Reserved. Confidential
CompanyOverview:QuestGlobalInc.
65+
Locations
14
Countries
12,000+
Employees
Who We Are
1997
Founded
HealthcareHi-Tech Transportation Aero Engines
Aero/Defense Oil & Gas Power
Engineering-focused solutions provider to Fortune-500 Technology companies. We deliver next-gen technologies like
AI/DL, IOT, AR/VR to accelerate digital transformation for the world’s leading organizations.
12,000+
Professionals
45%
55%
•Embedded & Software
Product Engineering
•Enterprise Solutions
•Technology Solutions:
AI/DL, AR/VR, Big Data
Analytics, IoT, Security
Engineering
(Mechanical Engineering,
Design Engineering, Process
and Manufacturing etc.)

3. © 2019 QuEST. All Rights Reserved. Confidential
QuEST-IntelAISolutions
QuEST Intel AI
Lab
Retail, Banking,
Hospitality & Education
Industrial &
Manufacturing
Healthcare &
Medical Imaging
Automotive &
Transportation
Develop & Scale IA based AI solutions globally.
https://builders.intel.com/ai/membership/quest
System Integration (SI)
Partner
Connectivity Data Ingestion Applications People & ProcessThings Data AnalysisGlobal Infra
Onboarding
Agent
Azure IoT
Edge Agent
Deep Learning
based inference
engine for
detection &
classification
Configuration
Agent
Connectivity Agent
DVR
NVR
Event hub HDStorm
Cold/Hot
Storage
SQL DB
Stream jobs
IoT Hub
Existing Camera
Infra
Edge Compute hardware for
video/image processing
(IA based edge devices)
Azure Cloud Backend Application layer suitable for
end user use-case
• Ease of parking
spot finding
• Security &
surveillance
• Retail visual
analytics (heat
map)
• Asset sizing &
recognition
Azure Face
API & similar
3rd
Party
Services
DVR/NVR
Integration Agent
OpenVINO
QuEST AI Solutions in AI Builder Solution Catalogue
(OpenVINO/AI)
QuEST ThirdEye - Vision Analytics Platform
QuEST Lung Nodule Detection (Early detection of Lung
Cancer)
Intel AI Builders Solution Catalogue:
Intel AI Builders Solution Catalogue:
https://builders.intel.com/ai/solutionscatalog/quest
-thirdeye-vision-analytics-platform-554
https://builders.intel.com/ai/solutionscatalog/
lung-nodule-detection-in-ct-scans-549

4. © 2019 QuEST. All Rights Reserved. Confidential 4
Healthcare & Medical Imaging Solutions

5. © 2019 QuEST. All Rights Reserved. Confidential 5
QuEST Healthcare Solution: Early Detection of Lung
Cancer
• Early stage lung cancer patients have a 60-80% Survival rate.
• CT scans should have high sensitivity and low number of false-positive findings (FPs) per
scan.
• Computer Aided Detection (CAD) systems can detect tumors and diagnose diseases from
CT, MRI, X-ray and ultrasound images.
• AI techniques such as object detection and segmentation help radiologists make diagnosis
faster and more accurately
• QuEST’s Lung Nodule detection solution is a CAD solution that uses DL to detect lung
nodules in low dose CT scans.
• This solution plays an important role in reducing the reading time in a cost effective way.

6. © 2019 QuEST. All Rights Reserved. Confidential 6
MedicalImageAnalysis
NoduleNet – Lung Nodule Detection from CT images using Deep Learning on Intel
Architecture
CT images of Lung
3D View showing cancer in lung
Axial
Images
Benefits of CAD system:
• Assistance to Radiologist
• Efficient and Productive
Workflow
• Accumulated Learning
• Improved Accuracy and
Sensitivity
Patient undergoes
CT scan
Manual Detection by
Radiologist
Computer Aided Detection (CAD)
System Using Fully Convolutional
Neural Networks
Second Reader to
the radiologist
CT image showing
detected nodule

7. © 2019 QuEST. All Rights Reserved. Confidential 7
MedicalImageAnalysis
NoduleNet – Lung Nodule Detection from CT images using Deep Learning on Intel
Architecture

8. © 2019 QuEST. All Rights Reserved. Confidential 8
Results
- OpenVINO toolkit resulted in
significant improvement in inference
performance
- This positions the results for a strong
TCO argument against GPU
deployments especially in hospitals
and healthcare institutes where Intel
based devices are widespread.
- Intel® architecture with OpenVINO
toolkit offers an affordable solution
when trying to balance accuracy and
complexity of the model and real time
performance.
11
0.3455
7.5
0.2304
0.3561
0.1
0 2 4 6 8 10 12
BVLC Caffe on Core i5
OpenVINO on Core i5
BVLC Caffe on Core i7
OpenVINO on Core i7
OpenVINO on IRIS Graphics
Xeon Platinum 8153
Inference Performance
(in seconds. Lesser the better)
30X Improvement with OpenVINO
30X

9. © 2019 QuEST. All Rights Reserved. Confidential
QuEST Vision Analytics Framework

10. © 2019 QuEST. All Rights Reserved. Confidential
QuESTVisionAnalyticsFramework
Connectivity Data Ingestion Applications People & ProcessThings Data AnalysisGlobal Infra
Onboarding
Agent
Deep Learning
based inference
engine for
detection &
classification
Configuration
Agent
Connectivity
Agent
DVR
NVR
Existing
Camera Infra
IA Edge Compute hardware
for video/image processing and algo development
Application layer suitable for
end user use-case
• Defect
detection
• Security &
surveillance
• Heat map
analytics
• Predictive
analytics
DVR/NVR
Integration Agent
OpenVINO Toolkit
Intel Technology Component
Training
Backend Server, Cloud & Hybrid
Intel Technology Component
IA Backend Server, FPGA, Accelerator
Cloud Infrastructure
Inferencing
Showcasing vision application
in Financial, Banking and Retail
vertical.
Intel HW
Core i5/Core i7
Xeon (Skylake)
Intel SW
Intel Distribution of
OpenVINO
DVR/NVR Aggregator Edge Compute On-Prem/Cloud Backend Presentation/App Layer
{
“cameraId”: 1,
“zoneId”:32,
“personDetected”:1,
“bbox”: {57, 89,
250,310}
}
Automotive Hi-Tech Medical
Devices
Industrial Oil & Gas Power Rail

11. © 2019 QuEST. All Rights Reserved. Confidential 11
EnhancingCustomerSatisfactionUsingVisionAnalytics
Client’s Vision – A Leading Retail
Bank
Some of the problems they wanted to rectify were:
• Reduce customer queue wait time at bank counters and ATMs
• Identification of daily genuine ATM customers in an area
• Recognize high-value customer (HVC) in the premises
• Detect customers who might have had a bad experience in the
bank
• Ensuring high-value customers receive promotions/offers in the
banking space
• Leverage Advanced Vision Analytics, for finding the right customers, serving them better and
gaining higher market standard, thereby improving the overall turnover
Vision

12. © 2019 QuEST. All Rights Reserved. Confidential
RetailandBankingSectorApplication
Recognize High
Value Customers
when they walk-in
Predict customer
service queue wait
time
Recognize High
Value Customers at
the front of the
teller line
Detect customers
who may be
having a bad
experience in
bank/retail space
Targeted customer
promotions/offers
in banks or retail
space Enable HVC
frictionless ATM
experience
Bank / Retail Reception Area Bank ATM / Kiosk Premises
• Person Detection
• Face Recognition
• Person Re-ID
• People Count
• Emotion Detection
• Age & Gender Recognition

13. © 2019 QuEST. All Rights Reserved. Confidential
• Intel Technology Impact and value Proposition:
Results-IntelTechnologyValuePropositionforAIandOpenVINO
• Intel technology with OpenVINO gives the advantage of utilizing the existing CPU
infrastructure to its fullest potential for creating accelerated AI inferencing applications.
• We are able to achieve this without compromising speed or quality.
• Customers are really interested in such solutions on edge devices.

14. © 2019 QuEST. All Rights Reserved. Confidential
SummaryofAI/DLprojectsacrossdifferentdomains
Autonomous
Parking
For a leading utility
company, determine
security concerns from any
triggered alarm from
remote power stations.
(Vision based validation
between human vs,
animals)
Traffic Sign
Detection
Optical Flow
Behavioural
Cloning
Lane Detection
Vehicle Tracking
Sensor Fusion
Object tracking
HD Mapping
Traffic Queue Size
Estimation
DL based defect detection
for a consumer good
company that leverage
vision analytics to detect
packaging defect .
Anomaly Detection in Cables
For a leading global
CPG/Manufacturing
company, we are initiating
a project for detect the
defects in blade teeth from
their magnified images.
Predictive Maintenance
Anomaly detection of O&G
pumps
Quality classification for
Production Line Problem
Lung Nodule
Detection from CT
images
Image upscaling
using CNN
Diabetic
Retinopathy
detection
Anomaly in ECG
Data
EEG Classification
Face Detection &
Recognition
Footfall Counting
Facial Emotion
Recognition
Retail heat map
analysis
In-store vision
analytics
Skin detection
Text Extraction &
Recognition
Image Super
Resolution
Text to Image
Synthesis
Signature Fraud
Detection
Arabic Text
Recognition
Automotive Industrial Medical Retail & Banking Others

15. © 2019 QuEST. All Rights Reserved. Confidential
QuEST’sAI/DLofferingsforIntelandIntelpartners
Strong Team of Data
Scientist and AI/DL/ML
Experts
Proven Skillsets In DL Networks,
Back Propagation, Training &
Inference
Rich Experience In Multiple
Computing Frameworks
Experience in Training And
Inference of DL on Intel
Hardware And OpenVINO
Capability to build end-to-end
pipeline for deep learning
integration
Data engineering capability
enabling deep learning
integration with enterprise
backend
Two-Pronged Strategy
1) Consulting: Need & Data
analysis, Recommendation,
Roadmap
2) Implementation +
Deployment + Operation:
Infrastructure setup, Network
selection, Training of network,
Deployment & Support
End to End Expertise
QuEST brings end-to-end
expertise in DL; right from the
first-stage of Research to the last
stage of Commercialization of a
solution
Customizable Solutions &
Flexible Engagements
1) Building turnkey solutions
(end-to-end)
2) Collaborating with
customer’s internal team to
build joint solutions

16. © 2019 QuEST. All Rights Reserved. Confidential
Dr. Rubayat Mahmud
Director of Sales and Business Development
Rubayat.Mahmud@QuEST-Global.com
480-334-7438
Contact

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