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Time-Series Change Detection AI

Efficient Monitoring of Areas of Interest

Regularly monitor facilities and areas of interest using satellites.
We notify you with an alert when a change occurs on the ground surface.

Do you face these challenges in monitoring remote locations or managing large numbers of assets across wide areas?

  • Difficulty remotely confirming status changes without relying on manpower
  • Constant monitoring is inefficient. I only want a trigger for when "something has happened."
  • Difficulty efficiently tracking managed facilities and target areas scattered across wide regions

By leveraging "Time-Series Change Detection AI,"wide areas and multiple sites can be monitored with automatic alerts when changes occur.

Time-Series Change Detection AI : Three Key Features

Space Shift's Time-Series Change Detection AI uses satellite imagery to automatically detect surface changes and signs of change within specified areas.
By analyzing past satellite images over time, it enables efficient identification of when and where changes have occurred, with alerts provided to users.

01

Monitor wide areas regardless of weather conditions

Utilizing the strengths of SAR satellites, we regularly observe wide areas at once, regardless of day/night or weather conditions.

02

Automatically detect and notify signs of change

AI analyzes time-series data to automatically detect "signs" of physical change on the ground surface. It identifies the location and timing of the change and notifies you with an alert.

03

Provide a "trigger" for on-site verification, optimizing operations.

By utilizing alerts as a "trigger" for on-site surveys and detailed verification, we enable an efficient workflow of "checking only the locations where a change has occurred."

Feel free to contact us about our Time-Series Change Detection AI

Time-Series Change Detection AI Package

This is a service that detects past or recent changes at your specified point of interest using satellite data combined with AI.

Analysis Package (Alert Plan)

This is a service that analyzes multiple designated points every time the satellite observes them, and notifies the user of any changes.

JPY 900,000 per year ~

  • Analyzes the presence of change at specified points with every satellite observation
  • Notifies the presence of change via email
  • Provided within 1 business day after observation
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System Integration

This is a service that allows you to utilize the Time-Series Change Detection AI functions within your own environment.

JPY 10,000 per month ~

  • Provides an API for analyzing past or recent changes at specified points and times
  • Satellite data analysis can be executed in the customer's development environment
  • Discounted to 90,000 JPY/month for annual contract
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Use Cases: Time-Series Change Detection AI

Case1

Application in Military and Defense

Continuous monitoring is required for security-critical locations such as border areas, military facilities, and strategic strongholds.
Time-Series Change Detection AI detects changes—such as the construction or removal of structures, vehicle accumulation, or terrain modification—in these wide monitoring areas every time the satellite observes, and issues alerts.
Utilizing the characteristics of SAR satellites, which are unaffected by weather or time of day, it achieves a regular monitoring system.
It supports rapid decision-making by providing situational awareness based on objective data, without relying on human resources.

Advantages of introduction

Achieves efficient information gathering with limited personnel through simultaneous monitoring of wide and multiple locations

Enables continuous monitoring even at night or in bad weather, eliminating monitoring blind spots

Supports early warning and rapid situational assessment through change detection based on objective data

Case2

Use Cases for News and Media

There are countless locations that require constant surveillance, such as critical infrastructure facilities and remote areas.
Time-Series Change Detection AI remotely detects any changes at those facilities and issues an alert.
It contributes to the efficiency of reporting work and the creation of scoop opportunities, for example, by enabling reporters to quickly head to locations where signs of change have been detected.

Advantages of introduction

Early detection and prioritization of changes that may become news subjects.

Capture signs of change and create opportunities for scoops ahead of competitors.

Optimize reporters' travel costs and time.

Case3

Application in Real Estate and Banking

It is unrealistic to physically check all managed properties, collateral properties, and their surrounding conditions scattered over a wide area.
By comprehensively detecting the presence of change using satellite data and focusing verification only on locations where an alert was issued, we rationalize and optimize the entire management operation.

Advantages of introduction

Remotely grasp the status of properties scattered over a wide area, all at once

Detect unexpected changes around the property, supporting the initial response in risk management

Judge the necessity of on-site verification based on data, streamlining operations

Feel free to contact us about our Time-Series Change Detection AI

Frequently Asked Questions

Q Q What are optical/SAR satellite data?

A A: Please refer to: [TECHNOLOGY] Differences Between Optical Satellites and SAR Satellites.
*Building Change Detection AI works with both satellite types. Feel free to contact us for more information."

Q Q: What kind of objects can be detected?

A A. We detect any changes on the ground surface, such as buildings.

Q Q: In which regions can this solution be applied?

A A: Any area covered by satellite observation. We will check the availability of the designate area. Please feel free to contact us for more details.

Q Q: How frequently is the data updated?

A A It is updated regularly, approximately once every 10 days.

Q サービスのデモなどは公開されていますか?

A A We offer a free analysis tool that can be linked to generative AI services.
You can try out time-series change detection based on satellite data from the past six months. Please see here for details.