emergency vehicle detection with an embedded system

8/12/2019 Emergency Vehicle Detection With an Embedded System

1/10


2/10

Nombre del curso Nombre de tema a exponer Equipo No. X

Improve the response time of

emergency services by providing

solution that helps them to avoid traffic.

Device Interconnectivity Emergency Vehicle Detection with an Embedded System Team 3

Objective


3/10


In todays world, cities have grown to

meet societys needs and because of

that when theresan emergency, greaterdistances must be traveled in order for

emergency services to arrive.

The current advance in embedded

systems, can provide with a solution in

order to help prioritize them.


Justification


4/10



Algorithm

The system works using

algorithms designed for real timerecognition and classification of

vehicles, select the emergency

vehicles and give them

preferency over the rest of the

cars.


5/10



Algorithm

The algorithm works by digitizing

the image of the vehicles, lookingfor ceratin patterns on them and

with a decent amount of

positives, we can assure its an

emergency vehicle, so then we

give it priority to go.


6/10


Embedded Systems


The solution can be

implemented in an embedded

system in order to save money

and make it scalable, it is

thought to be implementedon:

Raspberry Pi

BeagleBoard

ODriod


7/10Nombre del curso Nombre de tema a exponer Equipo No. X

Modelo BeagleBlack Bone Raspberry Pi (Modelo B) ODROID XUCPU 1 GHz ARM Cortex-A8,

VFPv3 Lite + NEON, 256 KB L2-Cache ARM 1176JZF-S a 700 MHzExynos5 Octa big.LITTLE ARM Cortex-A15

@ 1.6 GHz quad-core and ARM Cortex-A7

@ 1.2 GHz quad-core CPUs

RAM 512 MB DDR 3 512 MiB 2 GB LPDDR3 PoPUSB 2.0 2.0 4 USB 2.0 A Host

1 x USB 3.0 Host, 1 x USB 3.0 OTGVideo Output microHDMI,

cape add-ons Conector RCA, HDMI Micro HDMI connector 1.4a output Type-D, MIPI DSI

Internal

Storage2 GB 8-bit embedded MMC on-board flash

version microSD card 3.3 V Supported (No

Card Supplied)

SD/ MMC/ SDIO Micro SD card slot,eMMC 4.5 modulesocket

Connectivity 4x UART,LCD, GPMC, MMC1, 2x SPI, 2x IC, A/DConverter, 2xCAN Bus, 4 Timers

10/100 Ethernet (RJ-45) via

hub USB10/100 Ethernet (8P8C)

Energy

Consumption 210460 mA @5 V Depending On Activityand Processor Speed 700 mA, (3.5 W)

OS Linux, FreeBSD, NetBSD, OpenBSD, QNX,RISC OS, Minix 3 o Android.

GNU/Linux: Debia,

Rapsbian, Fedora, Arch

Linux, Slackware Linux, RISC

OSAndroid, Ubuntu




References.

J. Lim, D. Kriegman, (2004). Tracking Humans using

Prior and Learned Representations of Shape andAppearance. IEEE International Conference on

automatic face and gesture recognition.

D. Insuasti, J. Quiroga, A. Forero, (2008). Deteccin ySeguimiento de Vehculos Automotores en Video.XIII

Simposio de Tratamiento de Seales, Imgenes y

Visin Artificial.




References.

David A. Prez A., (2009). Lecturas en Ciencias de la

Computacin. Sistemas Embebidos y SistemasOperativos Embebidos. (), pp.4 Linux (2014).

BeagleBoard . [ONLINE] Available at:

http://elinux.org/Beagleboard:Main_Page.[LastAccessed 18 de Febrero 2014]. RASPBERRY PI (2014).

http://elinux.org/Beagleboard:Main_Page.http://elinux.org/Beagleboard:Main_Page.



References.

Raspberry Pi Modelo B. [ONLINE] Available at:

http://www.raspberrypi.org/faqs.[Last Accessed 18 deFebrero 2014]. ODROID (2013). ODROID-XU.

[ONLINE] Available at:

http://www.hardkernel.com/main/products/prdt_info.

php.[Last Accessed 18 de Febrero 2014]

http://www.raspberrypi.org/faqs.http://www.hardkernel.com/main/products/prdt_info.php.http://www.hardkernel.com/main/products/prdt_info.php.http://www.hardkernel.com/main/products/prdt_info.php.http://www.hardkernel.com/main/products/prdt_info.php.http://www.raspberrypi.org/faqs.

emergency vehicle detection with an embedded system

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