Marketing - person-in-hangang/HanRiver GitHub Wiki

Market analysis

What is Intelligent CCTV?

  • It refers to a system that automatically recognizes specific situations based on the images collected by CCTV.
  • An intelligent software program detects a specific object or behavior in the image captured through CCTV, automatically identifies it, and informs the user

Why use an intelligent CCTV?

  • Differently from the existing simple CCTV, there is no need for a person to monitor the video of the CCTV 24 hours a day
  • it can be operated with minimal management by installing intelligent CCTV in places where monitoring is required.

Domestic market trend

  • The industry estimates that the domestic artificial intelligence CCTV and video analysis system market is around 100 billion won.
  • Among them, 50% of the market size of public institutions such as local governments, 25% of private companies' face recognition, fire monitoring, and store management, and the size of C-ITS accounted for the rest.
  • Currently, the artificial intelligence-based video surveillance system market is still in its infancy and is mainly being progressed in the form of government tasks by sector.
  • In the industry, a number of local government-led projects are being introduced, and the selective control market has been growing rapidly since last year, so it is expected that the local government-centered market will begin in earnest from this year.
  • Starting from this, it will be built in factories and companies, and it is predicted that the growth will continue.

Target Client

1. Where a CCTV is needed

CCTV Blind spot

1. Reagent Mountain Trail Murder Case

The murder of a hiking trail in the CCTV blind spot. Crime on so-called mountain roads in mountain roads and remote fields is steadily increasing. However, half of the nation's forest road CCTVs are concentrated in Seoul, and outside of Seoul, there is a very low number of CCTVs. Therefore, there are growing calls for additional CCTVs to be installed on hiking trails for the safety of citizens.

2. 2 year old face bruise and abuse without witnesses in CCTV blind spot of daycare center

A bruise occurred on both cheeks of the victim's child while going to the bathroom, a blind spot invisible from the video, from a daycare center. When the parents saw the bruises on the child's chest and asked, the child pretended to slap him on the cheek, but the nursery teacher claimed that the bruises were caused by the child's bump at the door. Although the court found him guilty, it could not know the exact truth because it was not seen on CCTV.

Building

A celebrity had a bicycle stolen from a building. The criminal trespassed into the building for theft. The victim said he believed it was a planned crime and released information on two bicycles stolen to arrest the criminal.

residential area

On September 9 last year, a man who lived on the second floor of a studio apartment in Busan broke into a man's house underneath several times for about 15 days, drinking beer out of the refrigerator, creating an absurd situation. Strangely thought, the landlord checked the CCTV footage and reported it to the police.

2. Target Client

(local) government

Expectation effectiveness

  • Creating a safe social atmosphere
  • Users can quickly judge situations that can cause a stir in society and take action
  • Realize the public interest

building or store owner

Expectation effectiveness

  • Notification of theft of goods in buildings and stores
  • Intruder Alert

individual

Expectation effectiveness

  • Users can watch children and pets
  • Residential Intruder Alert

SWOT

Marketing Plan

1. Rapidly growing unstructured data

Over the past decade or so, as IT technology has rapidly permeated each area of society, the amount of data generated is exploding. Especially in terms of the shape of the data, the growth of unstructured data is significantly greater than that of structured data.

If structured data is data tailored to a specific structure with matrices, such as Excel, unstructured data refers to complex, large-capacity, unstructured data such as images, videos, and conversations from SNS. Market research institutes believe that about 80 to 90 percent of the rapidly growing data in companies is unstructured.

In particular, as the amount of video data collected from smartphones, CCTV, black boxes, and high-definition cameras is rapidly increasing, requirements are increasing to extract meaningful information, visually analyze and utilize contents by recognizing people or objects based on unstructured video big data.

2. The singularity of our project

Our technology is

1. Characteristics of a recognized person

2. Picture of a recognized person

3. Approximate height information of the recognized person

It provides more detailed information.

This allows for expansion to be applied to a number of cases.

3. Expandable Market Areas

Through this distinction, we can expand to many areas in addition to preventing suicide in the Han River.

> Crime scene

Applying our system to crime scenes is expected to make it easier to arrest criminals by collecting various information of criminals and transmitting information to servers in real time.

> Prevention of unauthorized dumping

Currently, illegal dumping of waste lacks time and manpower for local governments to scrutinize CCTV, and there are considerable data that are discarded without seeing CCTV footage. Applying our system to prevent fly tipping is expected to provide clearer information by analyzing the description more accurately and recording the time recognized by the camera.

> Autonomous car

By applying our system to cameras in self-driving cars, we can more accurately recognize human characteristics and more clearly recognize pedestrian behavioral characteristics. For example, you can get height information for pedestrians, or you can also get information about people who are physically ill, so that you can adjust the speed properly or go back on the road.

> Looking for lost children

Applying our system to the missing child campaign, we expect to make some contributions. Our system is expected to help by analyzing Mia's description more accurately, recording the time recognized by the camera, and transmitting information in real time.