1.
1
Attention Back in the Driver’s Seat
Dr. Ing. Roberto Sicconi
CTO at TeleLingo
Dr. Maggie Stys
CEO at TeleLingo

2.
2
https://www.youtube.com/watch?v=n_zqdZp05Tk

3.
3
80,000 Accidents
8,000 Deaths
+14% since 2014
Distraction Inattentive DrivingDrowsiness
15% claims costs increase since 2014
$40B cost of distracted driving claims

4.
Insufficient Driver
Attention
Risk of drowsiness on long
stretches and of losing
control of the vehicle
Drowsiness
Missed opportunity to make
daily commute stimulating
and productive
Frustration
TeleLingo Proprietary & Confidential
Driving accidents are on the rise
US: 660,000 smart
phones used by
drivers any given time
Distracted Driving
US 2013 (NHTSA)
424k injuries
3154 deaths
EU 2008 (CARE)
4200 deaths
Car accidents
US 2013
3.8M injuries
35,200 deaths
EU 2008
1.8M injuries
43,000 deaths
Insufficient Data
about Drivers
Distractions
Insufficient attention paid to
driving, inability to handle
sudden emergencies
Churn
Repair costs and
Personal Injury
claims are rising as
accidents become
increasingly
expensive
Costs
Fraudulent claims (staged accidents, settled
bodily injury, phantom passenger claims, car
thefts) are surging ($35B)*
Fraud
Direct insurers, online comparison tools, limited
knowledge of customer reduce retention rates
Driver Insurance
Highway accidents
US 2010 (NHTSA)
Total: $277B+$594B
(damages + societal harm)
Distracted driving
17% ($46B+$129B)
*source III 2016
4

5.
Analyze/Model Driver Attention
+
Evaluate Driving Context Risks
+
Manage Effective Feedback
AI
The secret sauce?

6.
6
Analyze
Driver
Attention
Model
Driver
Behavior
Evaluate
Car
“Stress”
Audio (Voice) Feedback to Driver
Stimulating
Mind
Exercises
Evaluate
Traffic,
Weather
Model
Driving
Context
Verbal
Interaction
w/ Driver
distracted drowsy
Track
Improved
Performance
Margin in
Driver
Attention?
Eyes on road
Hands on wheel
Heartbeat
& Skin
Evaluate
Driver
Stress
Model
Driver
StateOpt. biometrics
from wearable
bracelet / smart
watch
Smart DMS1 for Self-Driving Vehicles
1: Driver Monitoring System
2: Artificial Intelligence
AI2

7.
AI CoPilot
+
LingoFit 1
(iOS/Android)
Auto-IR HD Camera Mobile App
2017
+
LingoFit 2
(Win/Linux)
Auto-IR HD Camera Mini PC
2017
+
LingoFit 3
(Win/Linux)
3D IR Camera NUC Mini PC
2017
+
LingoFit 4
(Linux)
Integrated CPU &
Smart Cameras
Opt. Wearable
Biosensors
2018
LingoFit 5
(integrated in
rearview mirror)
2019

8.
Car Insurance
38M
Attention
Monitoring
(UBI*)
9M
Teen
Drivers
100M Single
Drivers
Fleet Management
3M Truck Drivers
Ride Sharing
1M Drivers
All numbers for US market, 2019 est. * UBI: Usage Based Insurance
Driver ID, Anti-theft
Feedback on driving behavior
Drowsy driving detection
Events recording (e.g. hard braking)
In-cabin monitoring (driver and
passengers)
Driver ID, Anti-theft
Feedback on driving behavior
Events recording (e.g. hard braking)
Distracted driving prevention
Recording of unsafe events
(driver and passengers)
Driver ID, Anti-theft
Driving behavior scoring
Events recording (e.g. extreme braking)
Drowsy driving prevention
Distracted driving prevention
In-cabin crash, whiplash recording
LingoFit 2, 3LingoFit 1, 2, 3 LingoFit 4, 5

9.
What makes LingoFit unique?
TeleLingo Proprietary & Confidential
Digital Assistant with Copilot Expertise
Like an expert passenger, LingoFit
• Monitors driver’s attention and responsiveness
• Assesses risk by evaluating traffic, speed, driving
conditions and dangers ahead
• Alerts driver of sudden risks
• Detects drowsiness and helps restore awareness
LingoFit uses AI and Computer Vision
• To detect distraction or drowsiness
• To learn and adapt to driving style and
communication preferences
• To decide when and how to use sound and
verbal interactions without distracting the driver
Watch
driver
Watch
scene
Attention
level
Risk level
AI
Interact
with
driver
9

10.
Autonomous Vehicles = no more accidents?
Year 2032
Autonomous
Vehicles
32% of new
cars
(best case
scenario)
=
3% of cars on
the road
Google
Mercedes
Audi

11.
LingoFit and Self-driving Vehicles
• McKinsey estimates that by 3032 at most 30% of
new vehicles (~30M) will be autonomous -> 3% of
the total 1.2B vehicles on the road
• LingoFit is complementary even to Level 4 self-
driving vehicles, where the driver needs to stay
alert and supervise
• How does the car know you are watching the
road and ready to take control if needed?
Or asleep?
• LingoFit to process biosensors data to
determine stress, fatigue, health issues
and provide medical advice

12.
Thank You!