UMJETNA INTELIGENCIJA U INDUSTRIJI SIGURNOSTI

Antun Krešimir Buterin, Hikvision

HIKVISION

ROADSHOW 2018 KRENIMO NAPRIJED S UMJETNOM INTELIGENCIJOM

UMJETNA INTELIGENCIJA

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TRADITIONAL ALGORITHM

AI – MEĐU NAJPOPULARNIJIM TEMAMA U 2016.

Why could AlphaGo beat Lee Sedol?

Why can machine do better than a human?

ŠTO JE TO DEEP LEARNING (DUBOKO UČENJE)?

- Process information as smart as human brain

Input Retina LGN V1 V2 V3 LO

C

UMJETNA INTELIGENCIJA

UVOD U DUBOKO UČENJE

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Features are manually specified

by human.

Abstract features are difficult to

specify (such as cheeks,

foreheads, etc.).

TRADICIONALNI ALGORITAM

UVOD U DUBOKO UČENJE

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1 2

3

Tradicionalni algoritam

Features are manually specified by human,

difficult to do collect enough face features.

Niska točnost

Easily interfered by the environment, and still need

human to double confirm the result.

Ograničena primjena

High installation requirement, limited application scenario.

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Human Brain (Hierarchical Processing)

Deep Learning (Artificial Neural Networks Structure)

Artificial Neural Network Simulation

Simple Complex

Pixels Primary Features

(Edges) Advanced Features

(Object Models)

Mid-Level Features

(Parts)

UVOD U DUBOKO UČENJE

EKSPLOZIJA UMJETNE INTELIGENCIJE

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KLJUČNI FAKTOR ZA EKSPLOZIJU UMJETNE INTELIGENCIJE

Process

Capability

Data

Foundation Algorithm

GPU/Cloud

Computing Analiza velikih

podataka (Big Data) Deep Learning

UVOD U DUBOKO UČENJE

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TRADICIONALNI ALGORITAM

Features are manually specified by human. It

is difficult to specify all the features.

Features are concluded by

algorithm automatically .

Abstract features (such as

eyes, nose, foreheads,

cheeks, etc.) are specified

to realize a higher accuracy.

Face Photo

Deep learning

Face feature

specified

Identifies face

characteristics

ALGORITAM DEEP LEARNING

UVOD U DUBOKO UČENJE

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Non Deep Learning

Deep Learning

40%

60%

80%

100%

20%

Small Target In General Side Faces

PREDNOSTI DUBOKOG UČENJA

With deep learning technology, the average accuracy of face recognition rises by 58%.

Blurred Image

USPOREDBA

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Deep Learning algorithm- Artificial framework

Data

Deep

Learning

Traditional

intelligence

Performance

As the volume of data increase，deep

learning algorithm accuracy is higher and

higher，while the traditional method without

apparent breakthrough

Traditional algorithm-Artificial feature

PRIMJENE UTEMELJENE NA DEEP LEARNINGU

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TIJELO

Discard False Alarm

Of Human Body

Body attributes

extraction

VOZILO

Vehicle attributes

extraction

Blacklist/Whitelist

Alarm

Face Picture

Comparison

LICE PONAŠANJE

Personnel density

Helmet Recognition

SNIMAČI IZ SERIJE „DEEP IN MIND”

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Vehicle Recognition Face Comparison

iDS-9632NXI-I8/FA iDS-9632NXI-I8/S

Human body Recognition

iDS-96128NXI-I24

Discard false alarm of behavior

ODBACIVANJE LAŽNIH ALARMA

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iDS-9632NXI-I8/S

Normal Smart IP Camera iDS-9632NXI-I8/S

Human Body Detection Technology

iDS-9632NXI-I8/S can

realize the secondary

analysis and modeling

of human body

,improving the

perimeter prevention

alarm accuracy ,and

you can search target

more quickly.

All of these things may trigger line crossing or

instruction alarm

Lišće Mačke Ptice Ljudi Svjetlo

ODBACIVANJE LAŽNIH ALARMA

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Line Crossing Detection Intrusion Detection

A Cat is crossing the Line Leaves are shaking

Slike i alarmne poruke stižu od normalne IP kamere

Discard False Alarm Of Human Body：16 Channels simultaneously

Točnost alarma kod zaštite perimetra:

Nakon procesiranja slike u snimaču Deep in Mind, alarm se odbacuje kao lažan jer je snimač „shvatio”

da alarm nije izazvalo ljudsko tijelo!

96 %

ŠTO JE SVE POTREBNO?

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VRLO MALO!

Da biste osnažili svoj sustav sigurnosti, ne treba imati kamere DeepinView, nego su dovoljne

obične IP kamere. Ne treba imati ni 10 ili 20 snimača DeepinView.

Dovoljno je zamijeniti originalni NVR s jednim Hikvisionovim snimačem iDS-9632NXI-I8/S.

Sve ostale kamere i kabliranje ostaju bez promjena, a vi dobivate neusporedivo učinkovitiji i

precizniji, ali i jeftiniji sustav koji štedi i vrijeme i novac – jer nema besmislenih interventnih

odlazaka na teren. iDS-9632NXI-I8/S

Perimeter prevention Security System

VIDEO STRUKTURALIZACIJA

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IPC iDS-96128NXI-I24

Bilo koji model kamere

Human Body Vehicle Vehicle & Human Body (u pripremi)

VIDEO STRUKTURALIZACIJA

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PREPOZNAVANJE VOZILA

izgled

Registarska oznaka

Marka

Model

Boja

VIDEO STRUKTURALIZACIJA

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Video In HDD

Extracting pictures from the

videos

Providing data base for Searching

pictures by properties and images

So, you don’t need to browse all

videos to find the target.

SMD record

Human Body detection

record

vehicle detection record

Appearance data –

Human body

Modeling Data-

Human body

Appearance data –

Vehicle

Pictures

SCENARIJI PRIMJENE

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Highway Buildings Bank

Vehicle appearances

To tracking the target

Vehicle by plate,

model, color,

accessories

Human body & face

recognition

To check staff

attendance

Visiting customers

statistics

Human face

recognition

To identify whether

Customer himself

DUGOGODIŠNJE ISKUSTVO S AI

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Algorithm Team

Established

First Release of Deep

Learning Products

Plans on Deep Learning

Technology Release of Deep Learning Series

Products

Hikvision has been paying

close attention to AI

technology since the

foundation, and established its

AI algorithm team in 2006.

Strategic plans on Deep

Learning technology and

researching on algorithms

Debut of back-end

products based on

Deep Learning technology

Release of Deep Learning

series products including

cameras, NVRs, and servers.

With years of experience on Deep Learning algorithms, Hikvision has championed

in many global AI competitions including KITTI, MOT, Pascal, VOC, ICDAR, ImageNet,

etc.

2006 2015 201

7

2013 2016

Published the AI Cloud

framework, targeting

at vertical solutions

DOBA ČETVRTE INDUSTRIJSKE REVOLUCIJE

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Od

željeza

do čelika

do

strojeva

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VS

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AI

VELIKA EUROPSKA PUTUJUĆA IZLOŽBA

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ŠTO JE SVE U KAMIONU?

• Kamere za prepoznavanje lica i pretraživanje lica u gomili

• Kamere za prepoznavanje registarskih tablica

• Kamere za kategorizaciju vozila po marki, vrsti, boji, obliku, brzini...

• Kamere za mjerenje količine gužve i broja ljudi na velikim otvorenim i zatvorenim prostorima

• Kamere za prepoznavanje ljudskih karakteristika i odjeće (boja, veličina, vrsta...)

• Kamere za zaštitu perimetra

• Kamere za analizu ljudskog ponašanja

• Kamere za pametno i sigurno upravljanje prometom

• Kamere za brojanje ljudi

• Kamere Darkfighter X za sliku u boji unatoč gotovo apsolutnom mraku (0.001 lux)

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IZLOŽBA U SPLITU (9.4.2018.)

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28

LJUBLJANA (11.4.)

IZLOŽBA U ZAGREBU (12. I 13.4.2018)

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VIDIMO SE U KAMIONU...

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Antun Krešimir Buterin, menadžer poslovnog razvoja / Adriatic & Malta

MOB: 098 939 0060 / EMAIL: antun.buterin@hikvision.com

HVALA NA POZORNOSTI!