AUGMENTes

Next Generation Shopping Solutions

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About AUGMENTes
AUGMENTes provides cutting edge digital consumer experiences that help retailers and brands increase their online and in-store sales using Augmented Reality (AR), Mobile Applications and Omni-Channel Shopping Platforms. The world is changing faster than ever. To keep pace...
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NA
10 - 49
2012
United States
AUGMENTes
Next Generation Shopping Solutions
0.00/5 (0 Reviews)
Services

We provide solutions that include plug-ins, customized AR mobile applications and comprehensive Omni-channel shopping platforms that carry out transactions, synchronize inventory and promotions across online, in-store, mobile and social channels from a single dashboard and easily integrate into other systems such as ERP, POS and CRM. All our solutions come with a managed service that includes customization, hosting, support, maintanence and regular updates. 

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A large number of toolkits are available in the market to develop Augmented Reality mobile apps. If you are an app developer, it is crucial to know about the 2 varied types of AR app, which are: Marker-based apps:   Marker-based apps conceptualize image recognition and display AR content by using black and white markers as triggers. As you point the camera on a marker's position anywhere around you, the device then identifies the marker. An app covers the digital data on this marker, and the augmented object thus becomes visible.   If you are planning to create a marker-based app, you need to provide the images or their descriptors in advance to simplify the searching process. In simple words, the objects are already hard-coded in your app-; thereby making it easier to detect the object. The majority of AR apps are marker-based, and these types of apps are especially popular in advertising.   Location-based Apps:   Location-based AR apps function without markers. These apps detect the user's location with the aid of a GPS, an accelerometer, or a digital compass and cover the augmented reality objects on top of real-time physical locations. One of the most popular games of all time, Pokemon Go is example of a location-based app.   A location-based app could give recommendations in the form of notifications about the best places nearby based on user searches. Not just that, it can help you find your car in the vast parking lot using the GPS of your location-based app.   Your AR app should support all the essential features, such as:     Platforms: You can quickly develop an app for iOS or Android since all of the augmented reality toolkit supports both of these platforms. There are even few tools in the market that can help you build your app on Windows or macOS.   Image Recognition: This feature is one of the vital elements for any AR app as it enables users to identify objects, places, and images.   3D Recognition and Tracking: This element is one of the most valuable features of any AR SDK and is widely used in mobile games and e-commerce. With this feature, an app can “understand” and enhance the large spaces of airports, bus stations, shopping malls, etc.   Unity Support: Unity is a widely used, multipurpose, and robust game engine, which enables its users to implement a cutting-edge experience or extend a more traditional idea with new techniques in their app.   OpenSceneGraph Support: This is an application programming interface utilized by app developers to build computer games, augmented & virtual reality, scientific visualization, and modeling.   GPS Support: This feature is crucial if you want to create a location-based app.   SLAM Support: Simultaneous Localization and Mapping(SLAM) is an algorithm that maps the user’s location and tracks all their actions and movements.   Cloud Support vs. Local Storage: While designing and developing an AR-based app, it is crucial to decide whether the user’s data will be stored in the cloud or the local storage. If you have a count of your markers, you can use your local storage, but if your data is enormous, you can utilize cloud storage. Cost: There are various pricing plans available in the market, from basic to advanced versions. For the initial stage, it is advisable to go with the free, open-source AR SDKs, which can be further extended with the new features proposed by the developers.  There are several tools available in the market that support the above mentioned features. The best ones of them are listed below:   1. Vuforia   Vuforia is one of the most popular tools that can be used for developing an augmented reality mobile app.   Its features include:     Recognizes multiple objects and images   Supports text recognition about 100,000 words or a custom vocabulary   Customizes VuMarks and provides a Unity Plugin   Enables building a 3D geometric map of any environment   Converts static images into a full-motion video   Supports both Cloud and local storage     2. ARToolKit   This is an open-source tool used to create AR mobile apps, and its feature set comprises of:     Supports Unity3D and OpenSceneGraph   Advocates both single and dual cameras   GPS and compasses support   Integrates with smart glasses   Provides Multiple Languages Support   Upholds automatic camera calibration     3. Google ARCore   Google introduced this operating system to develop AR apps that offer functionality with Java/OpenGL, Unity, and Unreal.   Its feature-set includes:     Offers motion tracking, which determines the position and orientation of the device using the camera. It also spots the feature points   Environmental understanding helps to place virtual objects on tables or on the floor   Light estimation allows users to light up the virtual objects so that they look natural with the help of smart light    4. Apple ARKit   Apple introduced its ARKit with iOS 11 which supports following features:     Visual Inertial Odometry enables users to track en environment accurately without any additional calibration   Powerful face tracking to create facial expressions of 3D characters   Tracks and updates the light level of the environment   Detects horizontal, vertical and irregularly shaped surfaces   Detects and modifies 2D objects   Integrates with Unity and Unreal Engine     5. Maxst   Maxst tool provides 2D SDK for image tracking and a 3D SDK for environment recognition. Its features include:     When you track the surroundings, the map automatically extends beyond the first view along with the move of the camera and can be also be saved for subsequent requirements   It saves files created with Visual Simultaneous Localization and Mapping to render 3D objects wherever you like on it   Offers QR and barcode scanning   With extended image tracking and multi-target tracking, you can target it to the camera’s maximum reach and track up to 3 images simultaneously   Tracks and places digital objects concerning the plane   Offers unity plugin integration     6. Wikitude   Wikitude is another tool used for developing an augmented reality mobile app. Its features include:     Provides image recognition, 3D recognition, and tracking   Offers cloud recognition   Allows location-based services   Enables smart glasses integration   Integrates with external plugins     The toolkits mentioned above are the most relevant and appropriate toolkits available in the market concerning the set of features they deliver and their value for money. It might be a herculean task to pick the right tool from all the tools available in the market. I have classified all of the above mentioned tools in a table to make this task easier for you.   You can pick one of these tools and develop your own augmented reality mobile app as per your app requirements. OpenXcell Technolabs offers excellent services and solutions to build a mobile app by implementing augmented reality into it. The company understands that AR is trending, and hence we are developing solutions based on this trending technology.
A large number of toolkits are available in the market to develop Augmented Reality mobile apps. If you are an app developer, it is crucial to know about the 2 varied types of AR app, which are: Marker-based apps:   Marker-based apps conceptualize image recognition and display AR content by using black and white markers as triggers. As you point the camera on a marker's position anywhere around you, the device then identifies the marker. An app covers the digital data on this marker, and the augmented object thus becomes visible.   If you are planning to create a marker-based app, you need to provide the images or their descriptors in advance to simplify the searching process. In simple words, the objects are already hard-coded in your app-; thereby making it easier to detect the object. The majority of AR apps are marker-based, and these types of apps are especially popular in advertising.   Location-based Apps:   Location-based AR apps function without markers. These apps detect the user's location with the aid of a GPS, an accelerometer, or a digital compass and cover the augmented reality objects on top of real-time physical locations. One of the most popular games of all time, Pokemon Go is example of a location-based app.   A location-based app could give recommendations in the form of notifications about the best places nearby based on user searches. Not just that, it can help you find your car in the vast parking lot using the GPS of your location-based app.   Your AR app should support all the essential features, such as:     Platforms: You can quickly develop an app for iOS or Android since all of the augmented reality toolkit supports both of these platforms. There are even few tools in the market that can help you build your app on Windows or macOS.   Image Recognition: This feature is one of the vital elements for any AR app as it enables users to identify objects, places, and images.   3D Recognition and Tracking: This element is one of the most valuable features of any AR SDK and is widely used in mobile games and e-commerce. With this feature, an app can “understand” and enhance the large spaces of airports, bus stations, shopping malls, etc.   Unity Support: Unity is a widely used, multipurpose, and robust game engine, which enables its users to implement a cutting-edge experience or extend a more traditional idea with new techniques in their app.   OpenSceneGraph Support: This is an application programming interface utilized by app developers to build computer games, augmented & virtual reality, scientific visualization, and modeling.   GPS Support: This feature is crucial if you want to create a location-based app.   SLAM Support: Simultaneous Localization and Mapping(SLAM) is an algorithm that maps the user’s location and tracks all their actions and movements.   Cloud Support vs. Local Storage: While designing and developing an AR-based app, it is crucial to decide whether the user’s data will be stored in the cloud or the local storage. If you have a count of your markers, you can use your local storage, but if your data is enormous, you can utilize cloud storage. Cost: There are various pricing plans available in the market, from basic to advanced versions. For the initial stage, it is advisable to go with the free, open-source AR SDKs, which can be further extended with the new features proposed by the developers.  There are several tools available in the market that support the above mentioned features. The best ones of them are listed below:   1. Vuforia   Vuforia is one of the most popular tools that can be used for developing an augmented reality mobile app.   Its features include:     Recognizes multiple objects and images   Supports text recognition about 100,000 words or a custom vocabulary   Customizes VuMarks and provides a Unity Plugin   Enables building a 3D geometric map of any environment   Converts static images into a full-motion video   Supports both Cloud and local storage     2. ARToolKit   This is an open-source tool used to create AR mobile apps, and its feature set comprises of:     Supports Unity3D and OpenSceneGraph   Advocates both single and dual cameras   GPS and compasses support   Integrates with smart glasses   Provides Multiple Languages Support   Upholds automatic camera calibration     3. Google ARCore   Google introduced this operating system to develop AR apps that offer functionality with Java/OpenGL, Unity, and Unreal.   Its feature-set includes:     Offers motion tracking, which determines the position and orientation of the device using the camera. It also spots the feature points   Environmental understanding helps to place virtual objects on tables or on the floor   Light estimation allows users to light up the virtual objects so that they look natural with the help of smart light    4. Apple ARKit   Apple introduced its ARKit with iOS 11 which supports following features:     Visual Inertial Odometry enables users to track en environment accurately without any additional calibration   Powerful face tracking to create facial expressions of 3D characters   Tracks and updates the light level of the environment   Detects horizontal, vertical and irregularly shaped surfaces   Detects and modifies 2D objects   Integrates with Unity and Unreal Engine     5. Maxst   Maxst tool provides 2D SDK for image tracking and a 3D SDK for environment recognition. Its features include:     When you track the surroundings, the map automatically extends beyond the first view along with the move of the camera and can be also be saved for subsequent requirements   It saves files created with Visual Simultaneous Localization and Mapping to render 3D objects wherever you like on it   Offers QR and barcode scanning   With extended image tracking and multi-target tracking, you can target it to the camera’s maximum reach and track up to 3 images simultaneously   Tracks and places digital objects concerning the plane   Offers unity plugin integration     6. Wikitude   Wikitude is another tool used for developing an augmented reality mobile app. Its features include:     Provides image recognition, 3D recognition, and tracking   Offers cloud recognition   Allows location-based services   Enables smart glasses integration   Integrates with external plugins     The toolkits mentioned above are the most relevant and appropriate toolkits available in the market concerning the set of features they deliver and their value for money. It might be a herculean task to pick the right tool from all the tools available in the market. I have classified all of the above mentioned tools in a table to make this task easier for you.   You can pick one of these tools and develop your own augmented reality mobile app as per your app requirements. OpenXcell Technolabs offers excellent services and solutions to build a mobile app by implementing augmented reality into it. The company understands that AR is trending, and hence we are developing solutions based on this trending technology.

A large number of toolkits are available in the market to develop Augmented Reality mobile apps.

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If you are an app developer, it is crucial to know about the 2 varied types of AR app, which are:

Marker-based apps:  

Marker-based apps conceptualize image recognition and display AR content by using black and white markers as triggers. As you point the camera on a marker's position anywhere around you, the device then identifies the marker. An app covers the digital data on this marker, and the augmented object thus becomes visible.  

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If you are planning to create a marker-based app, you need to provide the images or their descriptors in advance to simplify the searching process. In simple words, the objects are already hard-coded in your app-; thereby making it easier to detect the object. The majority of AR apps are marker-based, and these types of apps are especially popular in advertising.  

Location-based Apps:  

Location-based AR apps function without markers. These apps detect the user's location with the aid of a GPS, an accelerometer, or a digital compass and cover the augmented reality objects on top of real-time physical locations. One of the most popular games of all time, Pokemon Go is example of a location-based app.  

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A location-based app could give recommendations in the form of notifications about the best places nearby based on user searches. Not just that, it can help you find your car in the vast parking lot using the GPS of your location-based app.  

Your AR app should support all the essential features, such as:    

  • Platforms: You can quickly develop an app for iOS or Android since all of the augmented reality toolkit supports both of these platforms. There are even few tools in the market that can help you build your app on Windows or macOS.  
  • Image Recognition: This feature is one of the vital elements for any AR app as it enables users to identify objects, places, and images.  
  • 3D Recognition and Tracking: This element is one of the most valuable features of any AR SDK and is widely used in mobile games and e-commerce. With this feature, an app can “understand” and enhance the large spaces of airports, bus stations, shopping malls, etc.  
  • Unity Support: Unity is a widely used, multipurpose, and robust game engine, which enables its users to implement a cutting-edge experience or extend a more traditional idea with new techniques in their app.  
  • OpenSceneGraph Support: This is an application programming interface utilized by app developers to build computer games, augmented & virtual reality, scientific visualization, and modeling.  
  • GPS Support: This feature is crucial if you want to create a location-based app.  
  • SLAM Support: Simultaneous Localization and Mapping(SLAM) is an algorithm that maps the user’s location and tracks all their actions and movements.  
  • Cloud Support vs. Local Storage: While designing and developing an AR-based app, it is crucial to decide whether the user’s data will be stored in the cloud or the local storage. If you have a count of your markers, you can use your local storage, but if your data is enormous, you can utilize cloud storage.
  • Cost: There are various pricing plans available in the market, from basic to advanced versions. For the initial stage, it is advisable to go with the free, open-source AR SDKs, which can be further extended with the new features proposed by the developers. 

There are several tools available in the market that support the above mentioned features. The best ones of them are listed below:  

1. Vuforia  

Vuforia is one of the most popular tools that can be used for developing an augmented reality mobile app.  

Its features include:    

  • Recognizes multiple objects and images  
  • Supports text recognition about 100,000 words or a custom vocabulary  
  • Customizes VuMarks and provides a Unity Plugin  
  • Enables building a 3D geometric map of any environment  
  • Converts static images into a full-motion video  
  • Supports both Cloud and local storage    
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2. ARToolKit  

This is an open-source tool used to create AR mobile apps, and its feature set comprises of:    

  • Supports Unity3D and OpenSceneGraph  
  • Advocates both single and dual cameras  
  • GPS and compasses support  
  • Integrates with smart glasses  
  • Provides Multiple Languages Support  
  • Upholds automatic camera calibration    
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3. Google ARCore  

Google introduced this operating system to develop AR apps that offer functionality with Java/OpenGL, Unity, and Unreal.  

Its feature-set includes:    

  • Offers motion tracking, which determines the position and orientation of the device using the camera. It also spots the feature points  
  • Environmental understanding helps to place virtual objects on tables or on the floor  
  • Light estimation allows users to light up the virtual objects so that they look natural with the help of smart light   
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4. Apple ARKit  

Apple introduced its ARKit with iOS 11 which supports following features:    

  • Visual Inertial Odometry enables users to track en environment accurately without any additional calibration  
  • Powerful face tracking to create facial expressions of 3D characters  
  • Tracks and updates the light level of the environment  
  • Detects horizontal, vertical and irregularly shaped surfaces  
  • Detects and modifies 2D objects  
  • Integrates with Unity and Unreal Engine    
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5. Maxst  

Maxst tool provides 2D SDK for image tracking and a 3D SDK for environment recognition. Its features include:    

  • When you track the surroundings, the map automatically extends beyond the first view along with the move of the camera and can be also be saved for subsequent requirements  
  • It saves files created with Visual Simultaneous Localization and Mapping to render 3D objects wherever you like on it  
  • Offers QR and barcode scanning  
  • With extended image tracking and multi-target tracking, you can target it to the camera’s maximum reach and track up to 3 images simultaneously  
  • Tracks and places digital objects concerning the plane  
  • Offers unity plugin integration    
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6. Wikitude  

Wikitude is another tool used for developing an augmented reality mobile app. Its features include:    

  • Provides image recognition, 3D recognition, and tracking  
  • Offers cloud recognition  
  • Allows location-based services  
  • Enables smart glasses integration  
  • Integrates with external plugins    
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The toolkits mentioned above are the most relevant and appropriate toolkits available in the market concerning the set of features they deliver and their value for money. It might be a herculean task to pick the right tool from all the tools available in the market. I have classified all of the above mentioned tools in a table to make this task easier for you.  

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You can pick one of these tools and develop your own augmented reality mobile app as per your app requirements. OpenXcell Technolabs offers excellent services and solutions to build a mobile app by implementing augmented reality into it. The company understands that AR is trending, and hence we are developing solutions based on this trending technology.

Contact information
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AUGMENTes
410 Pierce Street, Houston, Texas 77002
United States
281 401 9883
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