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Bruce & Brian Co., Ltd


SentiSight Embedded is designed for developers who want to use computer vision-based object recognition in their applications for smartphones, tablets and other mobile devices. Through manual or fully automatic object learning it enables searching for learned objects in images or videos from built-in cameras with PC-like accuracy.

SentiSight Embedded is available as a software development kit that provides for the development of object recognition applications for the devices that are running Android OS.


Advantages of SentiSight Embedded

Innovative algorithm, that is tolerant to appearance, object scale, rotation and pose.
PC-level accuracy of object detection and processing with mobile devices.
Smatphone built-in cameras are suitable for obtaining object images.
Compatability and interoperability with PC-side SentiSight-based products.
Reasonable prices, flexible licensing and free customer support.


Technology and SDK

Object learning and recognition processes. In the learning phase, SentiSight algorithms extract specific object features from a video stream or single image and save them to an object model. Object recognition requires no user interaction apart from providing providing a video file with the object or pointing a camera to a scene where the object is presented or will appear. Read more

SentiSight Embedded algorithm and technology capabilities. SentiSight implements advanced visual-based object learning and recognition technology. It can be used for a wide range of tasks and includes two different algorithms for object recognition. Both algorithms perform simultaneous multiple object recognition. Read more

SentiSight Embedded 1.2 SDK contents. The SDK provides for the development of object recognition systems for devices that are running Android OS. SentiSight Embedded is able to capture images and video streams from cameras that are built-in in Android devices. Java programming samples and tutorials are included. Read more

System requirements. A smartphone or tablet or other device that is running Android 2.3 (API 9) OS or newer is required. 1 GHz processor recommended for object processing in less than 1 second. Hardware floating-point support is required. Read more

Technical specifications and reliability tests. A SentiSight Embedded-based Java application processes an image with an object in less than 1 second. The tests with ALOI database showed that the the recognition rate is 98% - 99% at 0.1% FAR for objects with well defined intenal structure. Read more

Download. SentiSight Embedded 30-day SDK Trial and technology presentation video are available for downloading.

Licensing and prices

Licensing options. To develop a SentiSight Embedded-based product, an integrator should obtain SentiSight Embedded 1.2 SDK. A license for a SentiSight Embedded component installation is required for each device or computer that runs a SentiSight-based application. Single computer licenses and enterprise licenses are available. Read more

Prices. SentiSight Embedded SDK costs 339. Prices for additional installation licenses depend on quantity. Read more

SentiSight Embedded related products

SentiSight SDK – for development of PC-based object recognition systems. SentiSight SDK based software produces the same object models as the SentiSight Embedded SDK, thus both SDKs can be used for developing object recognition systems with client-side software running on smartphones and connecting to the remote server-side.

SentiSculpt SDK - for development of PC-based systems which perform 3D object models creation from regular images.



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910, Le Bois II, 87, Magokjungang-5-Ro, Gangseo-Gu, Seoul, 07599, South Korea
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