MotivationActual CSU Email

The following is a message from ClevelandState University on Feb 24th

“A robbery was reported today to theCleveland Police Department atapproximately 7:20 pm on East 24th Streetbetween Euclid and Prospect Avenue. ““A female CSU student had her cell phonetaken from her while she was talking on it.”“She was pushed to the ground while thesuspects attempted to unsuccessfully takeher purse. ““One suspect was wearing an orangehoodie. The second suspect was wearing awhite or gray hoodie or jacket. ““Both suspects ran east on Euclid Avenue.No further information is available at thistime.“

Technology and Innovation

Front-end Application

Real-time FeedbackUsing the mobile application on police tablets (developed byour team), police can add suspects to a chase, initiate a chase,view camera feeds, and perform many other tasks which givethem eyes in nearly every corner of the city.

System Architecture – Software Solution

Cerebro HelpKey - Hardware Solution

The goal of Cerebro is to utilize what we have learned as STEM students to create a scalable web based security system that will first and foremost secure campuses, cities , and eventually the world.

Cerebro Real-time SecurityBuilt on a Distributed Cloud Architecture, Powered by Computer Vision Machine Learning Algorithms

Nick White Mark Heller

Andrew Fisher

Brahm Powell

Titus Lungu

Robert Marshall

Solutions

Cerebro Solutions

Hardware

HelpKey

Software & DataCV Algorithm Applications

User Holds Button

API Request Made

Cerebro Initiates GPS

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Cerebro block diagram and overview of major components

What is Cerebro?Overview

Cerebro uses a innovative human detection andrecognition algorithm, based on a Computer VisionMachine Learning algorithm, to detect humans in thevideo streams of hundreds or thousands of cameraswithin a specified area. Using this algorithm, crimes canbe detected in real time. As a crime is committed, thesuspect is tagged in the system, and they are thentracked from camera to camera as they attempt to flee.Their location is reported to police in real-time, and isdisplayed on tablets in police cruisers as both video andas a pin on a map interface. Using this, police can trackthe suspect, update information about the chase, andapprehend the suspect both quicker and moreefficiently than ever.

AcknowledgementsOrganizations Parker Hannifin Corporation (Dr. Joseph Kovach)

Cleveland State University EECS/ME Departments

Individuals Dr. Sunnie Sun Chung (CSU EECS Department)

Dr. Pong P. Chu (CSU EECS Department)

Dr. Majid Rashidi (CSU ME Department)

Computer Vision Algorithm

Our proprietary algorithm makes detecting and tracking uniquehumans both fast, efficient, and accurate:

1. Individuals are detected using a Histogram of OrientedGradients and a pre-trained Support Vector Machine whichidentifies humans in video frames.

2. Certain key identifying features such as location, RGBpattern, and unique feature vectors are extracted for everydetected person and stored in our cloud database.

3. In successive frames, the detected people are compared tothe previously detected ones in order to find matches andtrack them over multiple cameras.

4. Using this data, individuals cannot escape from local police,as they are tracked from camera to camera – having theirlocation reported in real-time.

We plan to improve our algorithm bycontinuing to make use of state-of-the-artartificial intelligence techniques and by re-training the Support Vector Machine on arecently acquired dataset of over 3 millionunique pictures of people.