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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