The document outlines a driver safety SDK launched in July 2020, focusing on features such as driver state monitoring and alerts for distractions, particularly for large trucks, in response to increased accident rates. It emphasizes small AI models with high accuracy for various analysis tasks, integration capabilities with Amazon Web Services, and customer segments including fleets and car OEMs. Additionally, it details features like drowsiness and distraction alerts, and provides contact information for PathPartner Technology for further inquiries.

1. DRIVER SAFETY SDK
JULY, 2020

2. 60% of accidents with Large
trucks are frontal
Euro NCAP mandates Driver
state monitoring from 2020
Moving Forward bill in US
proposes driver distraction alert
US HOT CARS ACT 19
unattended children & pets
NEED FOR DMS
CRUCIAL
MARKET FORCES

3. OUR VALUE
PROPOSITION
SMALL AI MODELS
Total model size of 12 MB, specialised but
small AI networks are trained for every
analysis module, with 95% accuracy
LARGE IR DATASET
Prototype dash-cam with 940nm IR LED
was built to record 50K IR on-road video
data from trucks, cars & vans
USE IT ON $10 SOC
Years of algorithms and optimisation
experience helped us port DMS to 9
different processors including APACHE-4

4. TARGET CUSTOMER
SEGMENTS : OFFERINGS
FLEETS
AFTER MARKET HW UNIT
AWS CLOUD AI API
EDGE AI INTEGRATION
CAR OEM
CUSTOMISED ALGORITHM
RETRAINED AI MODELS
RADAR + CAMERA
DASHCAM
OFF-THE-SHELF APK
FRAMEWORK INTEGRATION
SEMICON
HIGHLY OPTIMIZED SDK
DIFFERENTIATING FEATURE
TIER-1
CUSTOM SENSORS
SAFETY INTEGRATIONS

5. DROWSINESS ALERT
DISTRACTION ALERT
Closed eye detection
Drowsiness level indication
Looking away alert
Mobile texting & looking down
BUILDING MODULES
Efficient IR face detection
2D Facial landmark detection
2D Landmark tracking
Eye height measurement
Blink statistics
Head pose & Eye gaze angles ESSENTIAL
FEATURES

6. Demo Video: Basic
features in action
Check out our high accuracy blink
analysis, head tracking & head pose angles
computation consuming less than 30% of
octa core ARM

7. FACE RECOGNITION
ACTIVITY CLASSIFICATION
Accuracy 98.3% on LFW
Model size of 22 MB
Yawn, Talking, Laughing
Smoking, Eating, Drinking
BUILDING MODULES
3D Facial landmark detection
3D Landmark tracking
Custom body pose AI
Face recognition
EXTENDED
FEATURES

8. SINGLE SDK :
CONFIGURABLE FEATURES
CHILD
DETECTION EXPRESSION
MOBILE
ACTIVITY
DETECTION
SEAT BELT
REMINDER

9. LOOKING FOR AUTOMOTIVE DMS
OFF-THE-SHELF UNIT TO ORDER?
IP-67 A-PILLAR CAMERA
IP-54 ECU UNIT
ESSENTIAL FEATURES
OPEN YOCTO LINUX
CAN | GPS | 4G | USB | SDCARD

10. SENSOR
FUSION
Multimodal inputs
weight sensor, audio,
camera & radar for
improved accuracy
OCCUPANCY
MONITORING
Seat belt reminder
Child/ Pet detection
5th percentile adult
Child out of position EURO NCAP
2022
Sudden sickness
Drunken driving
Body mass estimation
FUNCTIONAL
SAFETY
ASIL- B compliance
AutoSAR integration
PROJECT
ROADMAP

11. EMAIL ADDRESS
PHONE NUMBER
sales@pathpartnertech.com
+1 (408) 242 7411
+91 80 67722000
CONTACT US
ADDRESSES
PathPartner Technology Inc.#48834 Kato Road,
Suite 115A Fremont,California - 94538
PathPartner Technology Pvt.Ltd.#16, PSS Plaza,
1st and 2nd Floor,New Thippasandra Main
Road,HAL III Stage, Bangalore-560075
PathPartner Technology GmbH
Mainzer LandStrasse 49
Frankfurt am Main 60329