mobile based distribution system for managing abandoned or lost pets

10th International Symposium on Distributed Computing and Artificial IntelligenceSalamanca, 22nd-24th May, 2013 1

Mobile-Based Distributed Systemfor Managing Abandoned or Lost PetsJosé-Luis Poza-Luján(1), Daniel Garrote-Hildebrand(2),

Juan-Luis Posadas-Yagüe(1) and José-Enrique Simó-Ten(1)

(1) University Institute of Control Systems and Industrial Computing (ai2)(2) School of Engineering in Computer Science (ETSinf)

Universitat Politècnica de València (UPV)Camino de vera, s/n. 46022 Valencia (Spain)


Current problem• In most countries, legislation penalizes animal

abuse and neglect. However, animal loss or abandonment is a current problem in some communities.

• Numerous associations work in communities to help animals either welcoming in animal shelters or finding them a new home.

• Animal Protection Societies (APS) lack common information, databases and channels to receive animal warnings and notify the news.


• Limited to specific geographic areas.

• Different data specification.

• Non-automated systems.

Current solutions

HeLP Lost and Adoptable Pets

Petfinder

GlobalPetAlert

City of Calgary


• APS transmit the notice through their own webs as well as in social networks.

• Currently advises are sent without checking whether lost animals have been located. Besides, users receive messages without picking the geographic area of interest as they can receive advises of lost animals that are located far away from the area to be searched.

• It is of special interest the use of the new technologies to optimize the entire process.

Current solutions


• There has been carried out several studies about protocols that must be followed when either a lost animal or abandoned animal is found by someone.

• Most of these protocols insist specially on both the importance of information management and the huge possibilities of being applied into other technology fields regarding animal researches.

• In order to follow these protocols, animal protection societies usually use web pages and mobile applications in which they can warn about a lost animal or search one to adopt.

Proposed solution


Proposed solution• ClientI. Inform about a lost or

abandoned pet1) By means a smart

mobile device2) Through a Web

Application

II. Receive notices

• Server

I. Receives the notification

1) Processes the data2) Match information3) Generates warnings


Proposed solution

Virtual draws

Picture

SoundForm

Geolocation

Date and Time

DATAMETADATA

XML-based message creation

XML File

Image / Audio file Main data

extraction

CLIENTS SERVER

Data-matching

Selective Warings

Data base···

Data-process

Manager User

Animal specie, Size, Skin tone and similar data

Time, Geolocation and User

Smart mobile

Computer Web Server

- Warnings- Data management- Users management - Security

Step 1

Step 3

Step 2

User

Step 5

Step 6

Step 4Step 7

Step 8

Abandoned or lost pet


Client components• Client Input–Artificial methods:

generate data to be processed directly.• Form• Virtual draw

–Natural methods: generate data that requires a pre-processed• Picture• Voice

• Client Input–Metadata:

provided directly by the smart mobile device• Date• Time• Geoloation• User


Server components• Data extractor–Data extractor–Data matching–Data process–Warning generator

XML File

Image / Audio file Main data

extraction

SERVER

Data-matching

Selective Warings

Data base···

Data-process

Manager User

Web Server

- Warnings- Data management- Users management - Security


System developed• Client: mobile App–Picture view• Provides a captured directly

or uploaded from file.• Photo must be processed

on the server– Form View• Provides information

directly into the database format.


System developed• Server: Web service and database


Conclusions and future work• Nowadays the system is being developed.• First and second phase–We are developing the mobile application and

the server-side applications.– Some collation algorithms, with the selective

alarms, has been developed.• First experiments– Main data extraction phase– Label success rate: Total percentage of the labels

assigned to a pet.


Experiments and results• Performance tests–Communications functions–Data base insertion

• Main data extraction–Data extractor from picture• Image segmentation– Clustering method: 82,3% success– Edge detection: 92,1% success

• Main problem: The Label success rate depends on the quality of the image


Conclusions and future work• This project has several technological challenges

that should be achieved are mainly associated with data collation and selective advises.

• Challenges refer to avoid duplicate data in databases or even to provide a simple storage method.

• System suggests a few social challenges. – The main one consists of achieving a collation level

that permits to increase the lost animal location, as selective messages allow delimiting the search up to the recent places in which the animal has been to.


Mobile-Based Distributed Systemfor Managing Abandoned or Lost PetsJosé-Luis Poza-Luján(1), Daniel Garrote-Hildebrand(2),

Juan-Luis Posadas-Yagüe(1) and José-Enrique Simó-Ten(1)

Thanks for your attention

mobile based distribution system for managing abandoned or lost pets

Technology

distributed computing

international symposium

distributed systemfor

lost animals

abandoned animal

data thatrequires

animal researches

lost pet7