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Attention Back in the Driver’s Seat

Dr. Ing. Roberto SicconiCTO at TeleLingo

Dr. Maggie StysCEO at TeleLingo

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

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80,000 Accidents

8,000 Deaths

+14% since 2014

Distraction Inattentive DrivingDrowsiness

15% claims costs increase since 2014

$40B cost of distracted driving claims

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 DrivingUS 2013 (NHTSA)

424k injuries3154 deaths

EU 2008 (CARE)4200 deaths

Car accidentsUS 2013

3.8M injuries35,200 deaths

EU 20081.8M injuries43,000 deaths

Insufficient Data about Drivers

DistractionsInsufficient 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 accidentsUS 2010 (NHTSA)Total: $277B+$594B (damages + societal harm)

Distracted driving 17% ($46B+$129B)

*source III 2016 4

Analyze/Model Driver Attention+

Evaluate Driving Context Risks+

Manage Effective Feedback

AI

The secret sauce?

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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 inDriverAttention?

Eyes on roadHands 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 System2: Artificial Intelligence

AI2

AI CoPilot

+LingoFit 1(iOS/Android)

Auto-IR HD Camera Mobile App

2017

+LingoFit 2(Win/Linux)

Auto-IR HD Camera Mini PC2017

+

LingoFit 3(Win/Linux)

3D IR Camera NUC Mini PC2017

+LingoFit 4(Linux)

Integrated CPU & Smart Cameras

Opt. Wearable Biosensors

2018

LingoFit 5(integrated in rearview mirror)

2019

Car Insurance

38MAttention

Monitoring (UBI*)

9MTeen

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-theftFeedback on driving behaviorDrowsy driving detectionEvents recording (e.g. hard braking)

In-cabin monitoring (driver and passengers)

Driver ID, Anti-theftFeedback on driving behaviorEvents recording (e.g. hard braking)

Distracted driving preventionRecording of unsafe events (driver and passengers)

Driver ID, Anti-theft

Driving behavior scoringEvents recording (e.g. extreme braking)Drowsy driving preventionDistracted driving prevention

In-cabin crash, whiplash recording

LingoFit 2, 3LingoFit 1, 2, 3 LingoFit 4, 5

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

AIInteract

with driver

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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

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 stayalert and supervise

• How does the car know you are watching theroad and ready to take control if needed?Or asleep?

• LingoFit to process biosensors data todetermine stress, fatigue, health issuesand provide medical advice

Thank You!