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Orbital Insight Blog

Orbital Insight analyzes mountains of geospatial data to provide real-world examples, ranging from natural disasters to economic events, that help organizations transform risk into opportunity.

Geospatial Intelligence

Using Satellite Imagery and Computer Vision for Automated Ship Detection

Can geospatial analytics shine a light on the global supply chain disruption and answer what’s causing the traffic jam at the world’s biggest ports? How about using location analytics in financial analysis and equity research at investment banks? Monitoring port activity using alternative data would help predict delays and calculate the impact on sales. Geospatial intelligence would certainly empower military analysts, providing an exact count of the number of ships, enabling the analysts to monitor thousands of ports daily using satellite imagery.

Computer vision, particularly multiclass object detection, is the foundational technology that can power these applications spanning from understanding supply chain bottlenecks to performing anomaly detection on military ships.

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Geospatial Intelligence

“Data is choking the Software that was supposed to eat the world”(Part II)

Geospatial data represents a snapshot of the world in a way never before available. Being able to monitor changes on the Earth is such a novel way to think about learning about your business. Just being able to “see” anything anywhere in the world; whether it's what changes on the face of it, how people travel it, or where transportation means move can tell a poignant story in ways that are still being imagined. 

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Geospatial Intelligence

Software is eating the world but data problems are choking it!

Let’s say you have found the magic tool or data sets you must have. What’s next? How can you go about assessing technologies' utility? This is where defining pain comes in. Why should you do this? Because if you can’t categorize how the technology helps, in general, then you are bound to make a mistake in its implementation. At a high level, you need to deeply understand your business pain before you can even consider which tool you should buy, to build a process that your culture will actually adopt.

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Geospatial Intelligence

Demystifying Geospatial Intelligence

The global geospatial analytics market is estimated to be $59.5 Billion in 2020. It is projected to generate $158.84 Billion by 2027 according to Allied Market Research. While the interest in this discipline is proliferating, yet a vast majority of organizations don’t leverage geospatial data, and many struggle to understand this fascinating technology. In this blog, we will discuss a few common questions that potential customers may have in mind.

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Geospatial Intelligence

Applying Computer Vision to Railcar Detection

Application of Object Detection using Orbital Insight GO

At Orbital Insight, we have built a platform called GO that combines remote sensing data with machine learning. It allows users to select any location in the world and analyze activity over time using our built-in computer vision and geolocation algorithms.

Our computer vision team here at Orbital Insight is focused on building algorithms to detect different objects in remote sensing imagery across the world. For example, in a recent project, we used high-resolution satellite imagery from Planet, provider of global, daily data and insights about Earth, to build a railcar detector. This model was requested by one of our customers and is intended to provide information about economic activity across different countries in combination with a ship and aircraft detector.

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Supply Chain Monitoring

Do you recognize the top 7 trends shaping supply chain management in 2021 and beyond? (Part 2)

Did you know that transnational supply chains represent 80% of global trade, touching a significant part of our daily lives? Are you aware that supply chains are the foundation on which all commercial and public sector operations depend? A disruption in the supply chain results in chaos everywhere, from the production line to the retail shop and the breakfast table! No surprise that supply chain management has become a pressing issue for CEOs at companies across industries of all sizes as well as military and defense organizations. In the first part of this two-part blog series, we discussed the top three trends - Visibility, Resilience, and Hyperconnectivity-shaping supply chain practices. In this second blog, we review the remaining four trends that will make a difference for years to come:

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Supply Chain Monitoring

Do you recognize the top 7 trends shaping supply chain management in 2021 and beyond? (Part 1)

Whether you are looking for high-performance computing servers, new energy-efficient appliances, or the latest model of your favorite car brand, you may be aware of the increasing demand and tight supply situation. Out-of-stock items, limited inventory, and high prices have become a norm. For example, used cars prices are up 30% from a year ago. The global shortage of semiconductor chips has had cascading effects on the availability of industrial and consumer products. The trickle-down effects of the Covid-19 outbreaks have brought supply chains into the limelight. The executive teams at multinational companies are laser focussed on supply chains, chief supply chain officers (CSCOs) have the budget and mandate to transform operations. In this two-part blog, we look at some of the trends that are influencing supply chain management:

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Defence and Intelligence

The role of geospatial analytics in defense and intelligence

Geospatial analytics makes intel analysts more effective with real-time insights, enhances national security with airbase monitoring, and radically transforms defense capabilities with anomaly detection.

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Supply Chain Intelligence

How do you adapt, restructure & modernize your supply chain?

Rising costs, trade wars, environmental shocks, and unforeseen factory lockdowns will continue to hinder supply chains. Location intelligence can enable you to respond to change, improve visibility and transform into a connected supply network.

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