- e-Grid Co., Ltd. is a software development company that provides congestion detection and image analysis services using technologies like computer vision. - The congestion detection service uses existing WiFi routers and single board computers to measure the number of people or vehicles in an area at a low-cost by collecting WiFi and Bluetooth signals. - The image data analysis service aims to automate road patrol tasks by automatically detecting abnormalities from images captured by patrol cars and analyzing them using server-based image recognition.

1. 株式会社イーグリッド
Congestion Detection Service,
Image Data Analysis Service

2. Presentation Table
・Company profile
・Example of our technology
・Topic 1: Congestion Detection Service
-Visualizing congestion with low-cost terminals
・Topic 2: Image Data Analysis Service
-Detecting abnormalities by image analysis

3. Company profile
VISION
A company that provides value and contributes to society through “ IT x X “
MISSION
We continue to evolve and create a future for our customers and employees by solving their
problems and leading their businesses to success through “ IT x X ”.
Company name : e-Grid Co.,Ltd.
CEO : Yoshihiro Omura
Capital : 40 million yen
Number of employees : 50（Dec.2020）
Foundation date : Nov.2010
Business domain
- Software development
- Web Service Planning and Development
- Web Marketing
- Cloud Service Management
Certifications
Head office ： 40-1, Eda-cho, Izumo City, Shimane Prefecture
Tokyo Branch ： No.2 Hiramori Building 4F, 8-1-2 Nishi-Gotanda, Shinagawa-ku, Tokyo
Development Center ： 2F, 2664-3, Kamishioji-cho, Izumo City, Shimane Prefecture
Head office ：+81-853-20-2820
Tokyo Branch ：+81-3-6417-0418
https://www.e-grid.co.jp
information management
”Ruby” System Integrator

4. Topic 1: Congestion Detection Service -Visualizing congestion with low-cost terminals
Ruby on Rails,Python,javascript
Browsing image
Measure the approximate number of people or vehicles staying in a specific area
by acquiring Wifi or Bluetooth signals.
The data provided by telecommunication carriers are accurate
and voluminous. However, the problem is that it is costly.
With the combination of existing Wifi routers and single board
computers, we can propose a service that can deploy
at a small cost.

5. Usage Scenes
Survey of Person Trip
Check the history of
people's activities.
Survey of the number of people passing by
and entering the store
You can check the ratio of people entering the store
to the number of people passing in front of the store.
You can find out the correlation between the
number of storefront passers by, the number of
people entering the store, and the number of sales.
Check the congestion level
of public transportation.
Check the level of congestion
on buses and trains.
(Check usage trends at bus stops
or stations）
Survey of traffic volume and speed
Check the number of vehicles
on the roadway and survey
their speed.
In both cases, the focus is on "obtaining public sector funding"
or "providing data (processed data) to the private sector for a fee”.
Public sector ：
Alternatives to conventional methods
Public sector：
Lower cost than conventional methods
Public sector ：
Alternatives to conventional methods

6. Verification of actual equipment in various environments
Current phase
We made data acquisition. But we have not yet performed tuning by controlling the adapter's position
and configuration according to the usage scene.
Future Schedule
・ Secure and demonstrate the experimental field
・ Establishment of visualization methods according to usage scenarios
We need to carry out verification using actual devices according to the usage scenarios.
This is to ensure accuracy through sensor placement, etc.

7. About the target of the Congestion Detection Service
Target candidates
・ Real estate developers (or new store openers)
Provided as area marketing data to commercial and retail building operators
- Distribution of passers-by by month, weekday, holiday, and time of day
- Distribution of shoppers by month, weekday, holiday, and time of day
To visualize the value of the store opening area as a commercial district. Besides, to propose
the optimal store opening point for the area.
Applications
After opening a store, analyze the impact of external factors such as weather, billboard
displays, web advertising, etc.

8. Visualization image 1 of the Congestion Detection Service：Distribution display by mesh

9. Visualization image 2 of the Congestion Detection Service：View as a heatmap

10. 10
Visualization image 3 of the Congestion Detection Service： Displayed in Pie Chart

11. Topic 2: Image Data Analysis Service -Detecting abnormalities by image analysis
The purpose is to improve the efficiency of road patrols conducted by road administrators (Public sector).
【 Issues of patrol operations in Japan 】
・Lack of operation staff
・Shortening of working hours and improving efficiency
Operation system flow
(1) Patrol car: Record, photo, and transmit on a smartphone (Android) (2) After returning to the office：
edit the automatically generated daily report as needed (Web browser).
Future goals = automation of everything from photo to image analysis
There are a wide variety of abnormal events occurring on roads every day. Furthermore, it is impossible to detect them
without covering many routes. In the future, we will need sensors that can automatically detect events in more vehicles.
We will build a system that can automatically see events in more vehicles equipped with smartphones.

12. Anomaly detection on the road - Flow of image analysis
(1) continuous shooting (camera)
(2) Automatic transmission of captured photos to the data center (in batches)
Image, latitude, and longitude
(3) Detect abnormalities from images captured on the server
Organized by location
and event type
(4) Building a platform for statistical analysis on GIS
By (semi-)automating the entire process from photo to image analysis,
it will be possible to acquire big data previously impossible.
Advancement of road management
- prioritization
- prediction
- patrol planning