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virtual moving technologies

FUTURE OF MOVING TECHNOLOGY

virtual moving technologies

FUTURE OF MOVING TECHNOLOGY

Catered to the Experience

“The EagleDream Technologies team was a team we could trust from day one. They gave us the perspective we needed and allowed us to understand all the terminology and feel comfort. We are now happy to have one of the most downloaded apps using AWS Rekognition.”

CHRIS RAMSEY
Managing Member at Virtual Moving Technologies, LLC
The World's First Ever Virtual Moving App

Virtual Moving Technologies (VMT), mobile app helps reduce the hassle of moving by allowing customers to video record the areas of their home, apartment or office they wish to move. With the most reliable video surveying tool in the market and over 100 years of moving experience, VMT has positioned itself as the undisputed leader in this space.

CHALLENGE

From the captured videos, VMT creates an inventory survey that allows them to allocate the right amount of resources, and very accurately move estimates providing customers with the peace of mind that their move will be resourced properly and budgeted correctly. As most of today’s customers are familiar with the usage of mobile apps, they enjoy the ability to scan their inventory instead of having a stranger walking through their property.

VMT aimed to revolutionize the moving industry by creating the first mobile moving app. The next step in this journey was to take advantage of new cutting-edge technologies like Artificial Intelligence (AI) and find a reliable partner.

SOLUTION

The moving industry has evolved very little since its inception. VMT’s progressive and transformational nature allowed them to see a tremendous opportunity to revolutionize the industry and differentiate themselves in the marketplace.

VMT worked with the EagleDream team in the automation of video analysis. During the first phase of the engagement, EagleDream analyzed the results generated from videos by AWS Rekognition. These videos have been uploaded from the app into S3.

AWS Rekognition identifies all elements on every frame of video. Not every item is to be moved and should not be included in the generated inventory. EagleDream created an algorithm to remove non movable items like windows, doors, etc. Of the remaining found element, the algorithm finds a suitable match within VMT’s known items list and generates a survey with the identified item and their quantity.

By utilizing AWS Rekognition, item accuracy has been brought up to 94% compared to an 85% accuracy rate by humans. According to AWS, this app is one of the most downloaded apps using AWS Rekognition. Overall, the project was a great success, and VMT continues to work with the EagleDream team to improve the performance of the application.

AWS SERVICES USED
  • AWS Rekognition
  • Amazon S3
CURRENT SOFTWARE STACK
  • API’s supporting the app are written in PHP
  • API’s are hosted in Linux
  • Backend database is MySQL

ALL THE GOOD STUFF THAT MADE IT SUCCESSFUL

Key Benefits & Successes

ACCELERATED ACCURACY

With the new API, the accuracy is now at an average of 94% compared to an average of 85% with humans.

IMPROVED SECURITY

With the application, VMT customers can now do their own inventory electronically, instead of having a stranger come in and do it.

PARED DOWN DATA LOAD

With the implementation of Artificial Intelligence, the app has now been able to pare down the data load intake and in turn, improve accuracy.

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