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Kami Memimpin We Lead
EES510 IOT
O.S.V Counting Management System
Ooi Yu Wei
Soon Bin Yun
Vincent Kok Chin Keong
Kami Memimpin We Lead
Objectives
• To create a real-time count management
system that can be deployed in various fields
(eg: counting of human in shopping mall,
vehicle on busy roads, products in production
line)
• To publish the real-time data to MQTT broker
and subscriber via MQTT protocol and display
on dashboard
Kami Memimpin We Lead
Problem Statement
• Existing traffic monitoring is done by manual
interaction.
• No real-time traffic condition info publish to
commuter (i.e how heavy is the traffic) at
hotspot/cities traffic
• No existing framework (Open Standard) to
analyse the traffic situation 24/7
Kami Memimpin We Lead
Our Proposal
OpenCV
camera image
processing
Publisher
Main Centre
(Broker &
Database) Subscribers
Dashboard
for displaySmartphones /
Tablets
RPI
Kami Memimpin We Lead
Publisher
• Make use of the 5MP Raspberry Pi Camera module
• OpenCV Algorithm to detect movement of cars and
calculate the centroid
• Counter increments by 1 when cars ‘cross’ the counting
line
• Counter value is PUBLISH to the broker as topic
people/count
• Current date & time is also PUBLISH as topic date/now
Kami Memimpin We Lead
OpenCV Implementation
Count the
number
of cars
Centroid
Draw contour
Around moving
object
Counting Line
Current
date & time
Buzzer to notify ‘object
crossing’
the counting line
Kami Memimpin We Lead
Hardware
Linux Kernel
Libraries
Application Framework
Application CV App
OpenCV
Kami Memimpin We Lead
MQTT Python Implementation
import paho.mqtt.client as mqtt Import the MQTT Python library
Setup the broker and topic to publish
with the data
Kami Memimpin We Lead
Main Centre
Topic
people/count
Topic
date/now
Incoming
Real Time Data Broker Database
Kami Memimpin We Lead
Subscribers
• Can be any devices that is connected, for example,
smartphones/tablets/laptops
• Subscribed to topic people/counter and date/now
• Can use Android apps to subscribe to the topics – MQTT
Dashboard & MQTT Dash Broker Address
Kami Memimpin We Lead
Subscribers (cont…)
• A RPi 3 B is used to subscribe the MQTT data and create
a display dashboard using node-red installed on the
board.
Database Flow
UI Dashboard
Flow
Kami Memimpin We Lead
Database
Kami Memimpin We Lead
Deployment Strategy
Kami Memimpin We Lead
Future Expansion
Face Recognition
(security)
Cellular Network
Real time video streaming & monitoring
Kami Memimpin We Lead
Video Demo
Kami Memimpin We Lead
Kami Memimpin We Lead
Thank you

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Counting With Python & OpenCV3

  • 1. Kami Memimpin We Lead EES510 IOT O.S.V Counting Management System Ooi Yu Wei Soon Bin Yun Vincent Kok Chin Keong
  • 2. Kami Memimpin We Lead Objectives • To create a real-time count management system that can be deployed in various fields (eg: counting of human in shopping mall, vehicle on busy roads, products in production line) • To publish the real-time data to MQTT broker and subscriber via MQTT protocol and display on dashboard
  • 3. Kami Memimpin We Lead Problem Statement • Existing traffic monitoring is done by manual interaction. • No real-time traffic condition info publish to commuter (i.e how heavy is the traffic) at hotspot/cities traffic • No existing framework (Open Standard) to analyse the traffic situation 24/7
  • 4. Kami Memimpin We Lead Our Proposal OpenCV camera image processing Publisher Main Centre (Broker & Database) Subscribers Dashboard for displaySmartphones / Tablets RPI
  • 5. Kami Memimpin We Lead Publisher • Make use of the 5MP Raspberry Pi Camera module • OpenCV Algorithm to detect movement of cars and calculate the centroid • Counter increments by 1 when cars ‘cross’ the counting line • Counter value is PUBLISH to the broker as topic people/count • Current date & time is also PUBLISH as topic date/now
  • 6. Kami Memimpin We Lead OpenCV Implementation Count the number of cars Centroid Draw contour Around moving object Counting Line Current date & time Buzzer to notify ‘object crossing’ the counting line
  • 7. Kami Memimpin We Lead Hardware Linux Kernel Libraries Application Framework Application CV App OpenCV
  • 8. Kami Memimpin We Lead MQTT Python Implementation import paho.mqtt.client as mqtt Import the MQTT Python library Setup the broker and topic to publish with the data
  • 9. Kami Memimpin We Lead Main Centre Topic people/count Topic date/now Incoming Real Time Data Broker Database
  • 10. Kami Memimpin We Lead Subscribers • Can be any devices that is connected, for example, smartphones/tablets/laptops • Subscribed to topic people/counter and date/now • Can use Android apps to subscribe to the topics – MQTT Dashboard & MQTT Dash Broker Address
  • 11. Kami Memimpin We Lead Subscribers (cont…) • A RPi 3 B is used to subscribe the MQTT data and create a display dashboard using node-red installed on the board. Database Flow UI Dashboard Flow
  • 12. Kami Memimpin We Lead Database
  • 13. Kami Memimpin We Lead Deployment Strategy
  • 14. Kami Memimpin We Lead Future Expansion Face Recognition (security) Cellular Network Real time video streaming & monitoring
  • 15. Kami Memimpin We Lead Video Demo
  • 16. Kami Memimpin We Lead Kami Memimpin We Lead Thank you