http://www.smotech.cn/

Smart Ocean Technology Co. Ltd.,

Sales@smartoceansystem.com

Smart OceanFace Detection Solution Version 1.4

Overview

Face detection is a computer technology being used

in a variety of applications that identifies human faces

in digital images.[1] Face detection also refers to the

psychological process by which humans locate and

attend to faces in a visual scene.[2]

About Face Detection

Name：Zhang Hua Age: 35 Male

Title：Engineer Company: Smart Ocean

Due to the breakthrough of deep learning, the accuracy of

machine identification is beyond the capacity of people in each

public library, so that the real scene can be used.

At present, the bank, public security system has been used in large

scale, but because of the cost of the civil field, the complex system

can not be pushed on a large scale

Application

So Heavy Heavy

Traditional Solution

Face comparing server Cost raise following face number Very expensive

Face comparing on NVR Cost raise following NVR Expensive

Features:

Face detectingFace tracingFace comparing

Smart OceanFace Detect Camera

We are watching youCamera + Face Detection

ALL IN

① No server

② All-in-One Cam.

③ Fewer flow

④ 98% recognitionRate

⑤ Cost effective

Support adaptive face exposure adjustment, to adapt to a variety of smooth, light, low illumination in complex scenes

A comparison of 1 to 1 more than 99% witnesses; more than 90% rate of 1 million ID library first; the recognition rate is more than 99% photographs of the scene

Face capture rate is greater than 99%, to about +-60 degrees of deflection, face recognition accuracy is more than 98%

Integrated face detecging , comparing, tracing in one box

1st Vendor

High accuracy

Envieronment adustment

Isolated GPU for face comparison

More than

98%recognition rate

Smaller but Smarter

Features

Ø Self-study AI for face learning, Compared with the

traditional face algorithm, the method has the

advantages of high accuracy (not capturing the

wrong object) and very low miss detection rate (not

missing each face), and it can effectively combat

common false detection interference (such as

branches, etc.)

Ø 2 million pixel images, the average processing time is

less than 100ms

Ø Supported Onvif protocol and RTSP protocol. Face

image capture support FTP upload, TCP upload, SDK

upload, HTTP and other docking

Ø Built in face recognition algorithm. We can import the

face template library of 500 thousand people, and

compare it with the real-time capture of human face

images

High Light

AI Built-in

Face Detection Application

The face detection technology based on improved multi task cascade

convolutional neural network reduces the requirement of image quality

and greatly improves the speed of face detection

The face tracking technology based on improved optical flow can quickly track

the human face in video sequences, and only select high-quality face images

for face recognition through face evaluation method, which can effectively

reduce the system load

Based on the improved residual network (ResNet) face recognition technology, after the

high quality face image alignment processing, using improved ResNet network to extract

facial features, and calculate its similarity with the human face in the library

Key Technology

Key Technology 2

The latest processor, equipped with high-performance GPU+CPU parallel hybrid

distributed architecture, improves performance by 5-10 times, and brings super

computing power for complex mathematical and geometric computing

The deep learning model is trained by millions of samples, and has good

generalization performance. The scalability is strong, and the multiple application

functions can be conveniently developed based on the recognition results

The identification results of the whole machine can be centralized through the

network [optional], providing for the big data analysis

Face Detecting Feature

Specification:Face-tracing Real-time

Face format Save as JPEG , output panorama, personnel target

close-up, face close-up

Detecting number 1~10 face cocurrently

Response speed (face

capture time)

≤100ms

Sensitivity 0—10

E x p o s u r e

compensation

Support for face shading detection and automatic

adjustment of dynamic exposure compensation

Region setting Support for face capture region selection

Face Comparing Feature

Specification:Comparing number <=500,000 face picture

Face size The pupil distance between less than 50 pixels

Attitude The attitude pitch is within 20 degrees, or less than 45

degrees

Illumination Slight light, side light, excessive exposure, insufficient

exposure, does not affect the recognition

Sensitivity 0—10

Occlusion Ordinary glasses, short bangs have no effect on recognition

Expression In normal circumstances, slight expression does not affect

recognition

A c c u r a c y o f f a c e

comparison recognition

More than 98% (with above conditions), aged 90% (general

case)

Comparison recognition

speed

≤500ms

Other Features

Feature recognitionBy recognizing the captured pedestrian images for two times, the gender, age and other characteristics of pedestrians can be identified. And save to the database, query to provide feature retrieval conditions

Real time surveillance blacklistThe system can advance will focus on monitoring portrait dispatched, set to the list, face recognition ratio according to the surveillance set strategy, if found to comply with the policy face the alarm, such as setting the alarm popups, will face to face recognition pop-up windows and capture display.It also supports white list settings.

Application 1 - Public area

Face recognition can be applied to the import and export of key regulatory sites, such as important airports, train stations, high-speed railway, customs, face recognition camera can automatically detect and identify on the monitor screen of the target portrait, and through the long face capture and fast than on, to achieve real-time alarm of key personnel dispatched.

Application 2 - Gate

Residential, factory and other entrances and exits is currently the most used card verification, often without cards and other issues. Face recognition is a new authentication method applied to the entrance and exit gate system. Our face recognition camera can be used in access control system, which has the advantages of high recognition rate and fast recognition speed. After the success of the face comparison, the camera can set the output switch signal to the gate, access control and other equipment, complete the door opening action

OfficeAttendance

Entrance and exit entrance guard of community

Linked operation

Using face detection technology can

help identify who is go into the site

When the lock open, camera will take a face

photo, when the lock close, the camera also

take a face photo to close the case

Face detection Real-time

Using APP can easily check all the

in&out operation and face records

Application 3 - Working with Smart Lock for Telecom BTS/Power Substation/ATM machine

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Thank you