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Toa (6809) · InitiativeAdvanced

TRIFORA’s AI-Based People-Present and Throughput Counting Functionality

First written in FY2021-Q1. 2 of 4 entries say "Restated". Latest entry: FY2022.

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ProgressHeldSoftenedWorseRestatedFY2021-Q1 – FY20212020: 220202021: 120212022: 12022
Same theme, other companies
Intelligent Network Cameras and Market-Specific Solution DevelopmentA theme 8 companies write about · 0 as a headwind · 13 as a tailwind

4 other companies' latest entry also says "Advanced".

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  1. FY2022AdvancedAnnual report

    「The cameras also come standard with image-recognition AI using deep-learning technology, enabling a “People Counting” function that detects people captured by the camera and automatically counts them.」

    The AI-based people-counting function was expanded from a TRIFORA expansion function to network camera modules for integration into various industrial devices.
  2. FY2021RestatedAnnual report

    「We have also begun offering free AI-based expansion functions for use with network cameras in the same series, namely “Occupancy Counting” and “Pass-Through Counting.”」

    TRIFORA’s AI-based occupancy and pass-through counting functions and the initiative to provide them free of charge have been reconfirmed as research and development achievements.
  3. FY2021-Q2RestatedAnnual report

    「The newly expanded functions use deep-learning technology to recognize people in images captured by the camera and count the number of occupants or passersby. In addition to enabling detection of people who have stopped, which was difficult with conventional in-camera people-counting systems that use motion information, the functions are easy to set up and offer high accuracy.」

    The explanation of the AI-based occupancy and pass-through counting functions, detection of people who have stopped, and free provision of the functions continues.
  4. FY2021-Q1First statedAnnual report

    「The newly expanded functions use deep-learning technology to recognize people in images captured by the camera and count the number of occupants or passersby. In addition to enabling detection of people who have stopped, which was difficult with conventional in-camera people-counting systems that use motion information, the functions are easy to set up and offer high accuracy.」

    An expansion function was added to TRIFORA’s existing network cameras to recognize people using deep learning, count occupants and passersby, and detect people who have stopped, and free provision of the function began.
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