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Demonstration Videos
RecoMadeEasy®Android Speech and Speaker Diarization run locally with no need for servers or cloud service -- 300,000 unique words and thousands of speaker models realtime
RecoMadeEasy®Realtime CPU-based Object Detection running on a laptop with no server or cloud supprot, applied on a random youtube video
RecoMadeEasy®Local CPU-Based Object Detection and Face Recognition -- No Server or GPU Needed -- please watch consequent videos a well
RecoMadeEasy® Embedded Multi-Dialect English Speech Recognition plus Speaker Recognition
CES 2018: Bosch shows off our RecoMadeEasy® Embedded Speech Recognition, Speaker Recognition, and Face Recognition engines in their intelligent in-vehicle infotainment (IVI) implementation on a GM Cadillac SUV, at the CES 2018
Multi-Factor with Multi-Modal Biometric Access Control Demo using RecoMadeEasy® engines
More Demonstration Videos
Latest Technical Report
RecoMadeEasy®Products

  • AudioVisual Recognition
    (Combination of Speaker, Speech, Face Recognition, and Object Detection and Recognition with a single interface)
    Embedded
    		 Server Based

  • Speaker Recognition
    (Language- and Text-Independent, aka: Speaker Biometrics, Voice Biometrics, or SIV)
    Recipient: Frost & Sullivan Award 2011
    Embedded
    		 Server Based

  • Large-Vocabulary Speech Recognition
    Available for English, Spanish, Mandarin, Arabic, and German
    Also Available in Bilingual Spanish-English, Mandarin-English, Arabic-English, and German-English
    (Customizable domain full transcription ~ 240,000+ word vocabulary)
    Embedded
    		 Server Based

  • Face Recognition
    (face detection and recognition)
    Embedded
    		 Server Based

  • Object Recognition
    (object detection and recognition)
    Embedded
    		 Server Based
    RecoMadeEasy®
     Server Object Recognition

    Platform:

    RecoMadeEasy® Object Recognition is a standalone image and video recognition engine that offers comprehensive object detection and object recognition. The engine has a small memory footprint and is designed to run natively on devices that seek high recognition accuracy in the presence of service interruption or when full, uninterrupted and secure access to a cloud server is not guaranteed.

    The RecoMadeEasy® Object Recognition engine has been developed in our research labs in New York. When presented with a video stream or set of images, the engine via the API returns its results in the form of XML or JSON. The results include the timestamp where an object has been detected and the label of the object in that image. It is also capable of enrolling new unseen images when a tag is provided at time of enrollment.

    The RecoMadeEasy® Object Reocgnition engine is also available as a server-side and a standalone product. It provides object detection, object identification, and facial verification from still images and video streams. It supports all standard image and video formats such as png, jpeg, gif, mp2, mp4, .mov, etc.

    Supported Operating Systems

      The RecoMadeEasy® Object Recognigtion engine is available for the following operating systems. The C++ SDK, command-line interface, and web services may be used in any of the following systems:

    Linux (both 32-bit and 64-bit versions are supported)

    • CentOS 8 and 7.9 Linux (Latest)
    • Previous CentOS Linux versions: 7.3, 7.2, 7.1, 7.0, 6.6, 6.4, 6.3 6.2, 5.7, 5.6, 5.4

    • Fedora 38 Linux (Latest)
    • Previous Fedora Linux versions: 37, 36, 35, 34, 33, 32, 31, 30, 29, 28, 27, 26, 25, 24, 23, 22, 21, 20, 19, 18, 17, 16, 15, 14, 13, 12, 11, 10, 9, 8, 7, 6, Core 5, Core 4, Core 3, Core 2, Core

    • Ubuntu 22.04 Linux (Latest)

    • Previous Ubuntu Linux versions: 20.04, 18.04, 16.04

    • N.B.: May be made available for other Unix-Like systems upon request

  • Interactive Voice Response (IVR)
    (Graph-based logic, easily configured)
    Product Details

  • Automatic Language Proficiency Rating (ALPR)
    (Multi-lingual automated language proficiency rating)

  • Signature Recognition
    Status: Advanced Development Stage

  • Keystroke Recognition
    Status: Research Stage

For further information please contact us at 1-800-215-0841 inside the U.S. or +1-914-997-5676 from any other country. Alternatively, you may send an Email to info@recotechnologies.com.
info@recotechnologies.com Recognition Technologies, Inc.