This document summarizes an Innovation Women webinar on using IoT and machine vision to help reduce traffic fatalities. The webinar featured Nancy Li from Verizon discussing how Verizon developed an integrated IoT system leveraging machine vision to detect and analyze conflicts among pedestrians, vehicles, and cyclists. Attendees would learn about trends in smart cities, how machine vision is used, and how to architect an IoT traffic solution. The webinar provided information on Verizon's intersection safety analytics product that uses cameras and edge computing to classify objects, monitor intersections, and detect anomalies in real-time to improve safety.
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5. Innovation Women Speak!
Webinar Series
Use IoT and Machine Vision to
Help Reduce Traffic Fatalities
Hear how Verizon developed an integrated IoT system
that leverages machine vision technology to detect and
analyze the conflicts among pedestrians, vehicles, and
cyclists.
What you will learn in this webinar:
• Trends and challenges in Smart Cities
• How machine vision technology is used in Smart Cities
• How to architect an IoT traffic solution
Featuring
Nancy Li
Product Manager of
IoT Smart Cities,
Blockchain and 5G &
Mobile Edge
Computing, Verizon
6. Use The IoT and
Machine Vision
To Help Reduce
Traffic Fatalities
Confidential and proprietary materials for authorized Verizon personnel and outside agencies only. Use, disclosure or
distribution of this material is not permitted to any unauthorized persons or third parties except by written agreement.
Nancy Ranxing Li, Ph.D.
March 6, 2019
8. Intersection Safety Analytics aims to help make roads
safer for cars, bicycles and pedestrians.
Vehicular
accidents
continue to rise,
year after year.1
Motor-vehicle-related
deaths totaled an
estimated
40,200 in 2016.1
5,376 pedestrians
were killed in
automobile-related
accidents in 2015,
up from 4,910
in 2014.2
Approximately
129,000
pedestrians were
treated for nonfatal
crash-related
injuries in 2015.3
Confidential and proprietary materials for authorized Verizon personnel and outside agencies only. Use, disclosure or
distribution of this material is not permitted to any unauthorized persons or third parties except by written agreement.
9. Objective: Completely eliminate traffic deaths
and serious injuries, city by city.
Currently, 35 U.S. cities have signed up for this mission.1
• Boston―zero deaths by 20302
• San Francisco―zero deaths by 20243
• Washington, DC―zero deaths by 20244
Vision Zero initiatives
aim to change the game.
Source: https://visionzeronetwork.org/resources/vision-zero-cities/
Vision Zero
10. Significant change comes with big challenges.
Confidential and proprietary materials for authorized Verizon personnel and outside agencies only. Use, disclosure or
distribution of this material is not permitted to any unauthorized persons or third parties except by written agreement.
Not understanding the root
cause of car accidents
Lack of systematic data
to make decisions
Difficulty in measuring
success for Vision
Zero initiatives
Decisions based on
historical crash data
and manual counting
11. Use historical crash data to implement:
How it works now
Signage
Education
Infrastructure
enhancements
Confidential and proprietary materials for authorized Verizon personnel and outside agencies only. Use, disclosure or
distribution of this material is not permitted to any unauthorized persons or third parties except by written agreement.
12. Boston Pilot
- Testbed for Intersection Safety Analytics
• June 2016- February 2017 Design
and Implementation
• Launch on March 2017
• Collected Data for 6 months
13. Customer trials
• Measured 12 use
cases from March
to September 2017
• Results were
“phenomenal” and
“outstanding”
• $100 million
partnership
agreement,
10 Intersection
Safety Analytics
intersections
• Biker volume
• Board of directors
meeting in
March 2017
• Turning movement,
jaywalking, speeding
• Live intersection to
test the algorithm
RMD730318
14.
15. 15
The online management portal offers:
• A customizable interface.
• The ability to pull reports for each intersection
by time and date, as well as global reports.
• A dashboard to analyze pattern of dangerous behaviors
including:
– Speed of vehicles and bicycles at an intersection
– Count and turning movement of vehicles correlated with
traffic signal phases
– Count of pedestrians crossing an intersection correlated
with walk/stop phases
– Cyclist movement through an intersection correlated
with traffic signal phases
– Movement of pedestrians outside of designated
crosswalk
• 24x7x365 Historical data to demonstrate safety achievements
Intersection Safety Analytics
16. Verizon’s Intersection Safety Analytics Application
Parking, Traffic, Public Safety
• Edge analytics to identify, track,
and classify objects in real-time
• Metadata transmission
• Device Configuration
• Video/Image on demand
• Application is accessible anywhere
• Built upon Verizon’s Netsense platform
• Provides insight into the intersection’s performance
9c2d443a-a3f9-47cc-ef2b-c09b1b41becb : Parked Car
23be781c-29ed-4802-f8bb-90517af0d6a3 : Vehicle
5fd6d23c-ab93-4d7c-f892-8b2f9e7f4ff2 : Pedestrian
52be65cb-2841-4e7c-a36e-4e6404895fe0 : Bicyclist
ThingSpace
17. Network and Connectivity
Wired
Wired Wired
Video Node 4K IoT Gateway
Traffic Controller Traffic Phase Monitor Cellular Modem
NetSense
SNAPS
API
LTE
LTE
18. Verizon’s Intersection Safety Analytics
Application
Parking, Traffic, Public Safety
• Edge analytics to identify, track,
and classify objects in real-time
• Metadata transmission
• Device Configuration
• Video/Image on demand
• Application is accessible anywhere
• Built upon Verizon’s Netsense platform
• Provides insight into the intersection’s performance
9c2d443a-a3f9-47cc-ef2b-c09b1b41becb : Parked Car
23be781c-29ed-4802-f8bb-90517af0d6a3 : Vehicle
5fd6d23c-ab93-4d7c-f892-8b2f9e7f4ff2 : Pedestrian
52be65cb-2841-4e7c-a36e-4e6404895fe0 : Bicyclist
19. Video Node 4K (2nd Gen)
• 2 Channel Video Sensor System for installation at
the Edge
• Transforms video into metadata for consumption
by applications
• Designed in house: HW, FW, SW, Algorithms & AI
• Ideally suited for full frame processing with GPU
acceleration
• Perfect platform for data reduction and passing
metadata to the cloud
Confidential and proprietary materials for authorized Verizon personnel and outside agencies only. Use, disclosure or distribution of this
material is not permitted to any unauthorized persons or third parties except by written agreement.
20. Traffic Classification
• 4 Class Support:
Vehicles, Pedestrians,
Bicyclists, and Buses
• Concurrent Use Cases:
Traffic Classification,
Count and Speed, and
Public Safety
• Baseline for qualitative
assessment on a release
by release basis
Confidential and proprietary materials for authorized Verizon personnel and outside agencies only. Use, disclosure or distribution of this
material is not permitted to any unauthorized persons or third parties except by written agreement.
21. Intersection Monitoring
• Ultra Wide FoV enables more than 100m of tracking
• City poles are typically 30-40m in pitch
• Concurrently serving Traffic Classification and Public Safety
Confidential and proprietary materials for authorized Verizon personnel and outside agencies only. Use, disclosure or distribution of this
material is not permitted to any unauthorized persons or third parties except by written agreement.
22. Anomaly Detection, Wrong Way
• Concurrent Parking, Traffic,
and Unsafe Driving
Behavior
• Data Analytics at the Edge
Confidential and proprietary materials for authorized Verizon personnel and outside agencies only. Use, disclosure or distribution of this
material is not permitted to any unauthorized persons or third parties except by written agreement.
23. 23
Verizon offers a comprehensive set of solutions.
Intelligent
Lighting
Parking
Optimization
Intelligent
Video
Intelligent
Traffic
Citizen
Engagement
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• And much more!
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Manager at R.J. Gold &
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27. @WomenInno
How to Reach Nancy
Twitter: @ranxing
Linkedin: www.linkedin.com/in/ranxing/
Email: nancy.li@verizon.com