Azuga is a data science company that uses machine learning models applied to GPS tracker and camera data to improve driving safety. Their systems quantify driver behavior, detect crashes in real-time, and provide insights that have prevented over 8,500 accidents and saved $78 million. The presentation discusses how Azuga monitors drivers, vehicles, and environmental conditions to provide preventative alerts, conduct pattern analysis to issue prescriptive consultations, and generate custom reports to improve safety. Machine learning plays a key role in their solutions by analyzing video, GPS, and diagnostic data to score drivers, detect accidents, and give insights into driving habits.

1. Azuga A Safety Company:
Data Science saving lives
Ashish Kumar
Principal Software Engineer(DS & E)
01 July 2023

2. Lets ask a few questions?
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● Have you been in an accident, which was not your fault?
● Have you ever had an accident due to vehicle issues?
● Have you been in an accident due to bad weather?
● Have you been in an accident due to bad road?

3. Is driving safe?
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● Every year, between 20 to 50 Million people are injured in road accidents and 1.3 Million
lose their life.

4. Azuga not just a Telemetry Company
In 2022-23, Azuga prevented 8.5K accidents, and saved 78M USD in claims and damages.

5. What causes an accident?
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Accident
Driver Behaviour
Environmental
causes
Equipment
malfunction
Road condition

6. Components of Safety
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Preventive Immediate Response Learnings
● Monitoring driver, vehicle
and Assets
● Monitoring environmental
patterns ( Geofencing,
weather, speed limits)
● Coaching drivers (using
real time feedback)
● Realtime Alerts- SMS,
emails etc
● Realtime vehicle
information
● Integration to 3rd party
emergency services such
as towing.
● Pattern analysis
● Prescriptive consultations
● Custom reports

7. GPS tracker
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● GPS Tracking
● Vehicle diagnostic Information

8. SafetyCam
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● Dual Camera feed - Driver facing And
Road facing

9. Application of ML
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● Quantifying driver behaviour
● Detection of Crash
● Driving insights out of SafetyCam

10. ML models
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SafetyCam
videos
GPS tracker
data and
Vehicle
diagnostics
data
ML models
Driver score
CloudAI
Crash Detection

11. Lets watch a video
Source: Youtube (Daily Mail news channel)

12. Quantify a driver behaviour
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● Who is a better driver?
● Is the driver consistently driving better?
● How can we improve the driver’s driving skills?
● How can we prevent human error?

13. Does the driver score really work?
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Accident Day

14. Learning while developing driver score
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● Good/Bad score reason
● Underlying device may change
● Comparison is always relative
● Short term and long term performance matters

15. Detecting a Crash
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● Identify and alert about the accident.
● Trigger emergency services
● Reconstruct accidents in real time.
● False positives and False negatives
are dangerous.

16. Detecting Crash
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17. Understanding the environment better
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● Extract information out
of videos
● Understanding the
environment better.

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Any Questions?

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