Technology

How Scape’s Acquisition to Facebook Created an Enormous Amount of Opportunities in Slam (Simultaneous Localization and Mapping) Based AR

Monocular SLAM for Driverless Car

SLAM Paving New Route

In Dec 2019 Facebook Inc. the biggest social media platform has acquired London computer vision startup Scape Technologies Ltd. This ambitious startup used a cloud-based Visual Engine allowing user’s devices to tap into fused insights of the surrounding world with augmented reality capabilities. Based on “Visual Positioning Service” it is helping in determining the precise location for accurate visual services. 

Let’s understand: Why Facebook was interested in Scape’s Acquisition

It is vital to know the precise location and orientation of the person to project important content or information. Unless we know exactly where the user is the digital information and the physical environment won’t align properly. 

The signals sent by GPS satellites many times add the uncertainty of where the users actually are. Moreover, most of the mobile phone’s GPS is around 10-20 meters. 

With a higher degree of accuracy than GPS, VPS (Visual Positioning Service) define the correct location to achieve higher scalability and performance. Enabled with AR-Cloud and computer-vision to provide precise insights about the specific location in the world. 

“Accurate Geolocation Matters”

SLAM technology is developed with augmented reality apps to provide any camera-equipped devices with the ability to interpret its surroundings in real-time. The potential SLAM technology is addressing the various use cases at present world.

“SLAM capabilities are helpful in enduring solutions for the next decade.”

Use Cases: SLAM technology

In 2020 SLAM offers great opportunities that are dramatically reshaping industries in robotics, retail, sports, Autonomous Vehicles and many more.

Autonomous Vehicles

Autonomous Vehicles

Autonomous systems, especially in autonomous cars, are the obvious applications for SLAM accurate mapping in driverless cars. Autonomous vehicles could potentially use real-time mapping while understanding the world around them.

SLAM in Robotics

For any robot to move autonomously in a space needs to solve the current positioning problem in the real world. Overcoming the localization and mapping problem, SLAM technology is a fundamentally used in robot navigation.  To move hassle-free the SLAM technology in a robot can be used to build and update the map in real-time.  

Commercial Drones

SLAM Technology is intended to help drones to locate itself in space and generating a 3D map of its surroundings. The drone refines its approach as it moves through the environment and gathers more information about the obstacles in its way. This could be helpful in product delivery, monitoring, mapping, and inspecting the unreachable places. 

Social

SLAM technology helps to determine exactly where you are, down to the centimeter, utilizing the enormous real-time map resources. Creating 3D rendering AR content can be easily clutched to an accurate location, object or structure in public. This enhances the experience as the users can collaborate their personalized message with augmented content within the same reference frame of physical objects.

SLAM in Retails

The retailer identified the market opportunity by deploying SLAM systems for accurate product capacities analysis in retail stores. With a 3D vision localization solution for robots, SLAM identifies and pick items on specific shelves.  It helps the retailers to identify out of stock products.

Sports

Experiencing a 3D Space at a large scale is an incomparable experience. Clubbing digital information and specific location, SLAM in sports on board the players on an exciting new adventure with 3D scenes at an accurate location. The Real-time mapping of 3D space is a vast spectrum to play 3D sports where device’s sensors collect visual data in terms of surrounding reference points.              

Quytech believes that SLAM is going to revolutionize the industries in different segments. We are already working in that direction and our team has begun to develop solutions that can be used for different use cases and scenarios of the current world.

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