New AI-driven Anomaly Detection Technology Disrupts Traditional Satellite Image “Change Detection”
The geo-spatial industry has always had an interest in making sense of our world, particularly from space. Public and private organizations have been trying for years to use technology in order to wade through the immense volume of satellite image data, in order to discover insight into what is happening to our planet.
For the last several years, tools have appeared which use algorithms such as “image subtraction” to identify changes on the ground. Over time, these unsophisticated tools have not been able to keep up with several trends which have changed the image analysis environment:
- the growing need to spot “abnormal” or “unusual” changes, vs normal change
- a massive increase in volume of data, due to rapid advances in satellite image resolution quality, frequency (cadence) of image supply, and an explosion in numbers of satellites including numerous smallsat/cubesat constellations
- growing demands on image analysts to identify, prioritize, and take action on newly discovered anomalies
Our latest product, Simularity AI-ADS leverages our deep experience in AI and competence in analyzing immense volumes of data. It applies our analytic engine to satellite imagery, resulting in rapid awareness of critical anomalies on the ground.
There is a wide range of anomalies our AI can detect, and the list is growing daily as we ingest different sets of images from different providers into our platform. Here’s a list of just some of the anomalies AI-ADS can detect, at any resolution:
Municipal Areas of Interest
- Unusual patterns in building construction: new roofs, demolished buildings, new buildings, new walls
- Non-building anomalies: interesting changes in roads, recently cleared land, abnormal digging activity, unnatural movement of large volumes of soil
National Security and Defense
- Strange vehicle behaviour
- Abnormal border activity
- Appearance and disappearance of naval vessels where normally there is little activity or movement
- Clandestine remote or near-urban unexpected construction as indicators of terrorist or criminal activity
Additional security and defense related images are available on request.
Environmental Use Cases
- damage due to earthquakes and other disasters
Examples of spills and fires are available on request.
Being able to monitor abnormal behaviour, by rapid and accurate identification of anomalies, allows analysts to focus on the issues that matter most, and the list of benefits is significant:
- The benefit to Municipal governments is tremendous, as it allows for improved compliance to regulations resulting in a more satisfied public and increased tax revenues due to unpermitted construction.
- National Security can be improved, by allowing the security forces to mobilize in time to take effective action, reducing the risk of harmful or unsafe situations and preventing more serious and illegal incidents before they progress further.
- Environmental damage can be minimized with near-real time monitoring of accidents – both natural and man-made
Simularity has been active in several regions of the world, and this includes the Middle East, where there has been a high interest in our satellite image analysis technology. Our recently announced partnership with Taqnia confirms our belief in the wide range of applications for AI-ADS, the benefits it can deliver, and our need to have resourceful and credible partners to work with our customers in different regions around the world.
If you are interested in discovering how AI-ADS can help your organization, then contact us today for a private no-obligation consultation.