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The Smart Street Light prototype is an IoT connected
proof of concept which:
• Demonstrates smart application using IoT connectivity
• Implements dimmable LEDs, LED status monitoring,
and pedestrians path prediction
• Uses Keysight’s powerful IoT development kit
• Displays a scale model of a LA suburb intersection
Project Description
E1.4 – Smart Street Lights
By Kevin Mok, Megan Law, Ahmed Khawaja, & Bhabya SinghKeysight Technologies
• Mimicking different environment conditions
• Wireless communications
• Autonomous prediction with ample error
handling
• Collecting and implementing statistical data on
pedestrians behavior at intersection
Challenges
Future Tasks
Project Features
State Diagrams
Block Diagram
• Automated power consumption reports
• Control system updates statistical data for
predictive decisions
Stretch Goals
Features Function
Predictive System Dictates designated LEDs in response to statistical data collected of pedestrian behavior
Controlled IR LEDs Mimics the path of a pedestrian by using a microcontroller to run IR LEDs that show different irritations of
pedestrian’s path
Streetlight LEDs Pulse width modulation controls the intensity of LEDs, which are adjusted corresponding to both ambient
light and response of the phototransistors
Ambient Light System Reads in ambient light and adjusts the network of lights to half intensity if it results in a reading lower than
30 lux
IoT Cloud Network Monitors the status of each LED within the network, which notifies the admin user of exact location of
malfunctioning LED
Predictivity Ambient Light
MilestonesCompletion
Date
ALS collecting data and sending results to board 2/22/2019
Phototransistor responding to IR LEDs 2/22/2019
LEDs dimming according to ALS and phototransistor
data with PWM2/22/2019
Code for Cloud server monitoring LEDs 3/15/2019
Test each individual component of design 4/11/2019
Fully implement design controlled by code 4/22/2019
Instructor: Mr. Lee B. Hinkle
Faculty Advisor: Dr. Rich Compeau
Keysight Sponsors: Mr. Lizotte & Ms. Malaspino
Design 2 Mentor: Garrett Warmke
Acknowledgements
Team Members
Kevin Mok Megan Law Bhabya Singh Ahmed KhawajaProject Manager
Existing System:
• HPS bulbs require frequent maintenance due to a
shorter life span
• Manual checks are required on HPS bulb
conditions
• HPS bulbs are omnidirectional which leads to
higher light pollution
• The CRI is lower in HPS bulbs which does not
show the true colors of the environment
New System:
• LEDs last longer, are more eco-friendly,
dimmable & are energy efficient
• Remote monitoring checks on LEDs via Cloud
• Sensors connected wirelessly
• Autonomous control system
Why Smart Street Lights?
The Smart Street Light system aims to provide
a solution for the outdated suburban street
light. Using IoT to create a network of
dimmable street lights that are monitored via
cloud and able to predict a pedestrians path.
Project Summary