Unique AI technology "RealtimeForesight" for ultra-fast and high-precision forecasting of time series 3D data.
In systems that require real-time performance, such as depth sensors, VR, and touch panels, achieving a balance between "processing delay" and "prediction accuracy" is a significant challenge. RealtimeForesight is a next-generation prediction technology that addresses this challenge through our proprietary AI algorithm. It predicts time-series 3D data quickly and accurately, achieving reduced latency, noise reduction, and enhanced feature sharpness. It is also suitable for implementation on edge devices and FPGAs, allowing for deployment across various industrial sectors. Do you face any of the following challenges? - Want to reduce processing delays of sensor data - Want to improve processing speed while maintaining AI prediction accuracy - Looking for a lightweight algorithm that can be embedded as edge AI - Want to reduce noise from ToF sensors or depth sensors - Want to implement AI technology on FPGAs - Want to improve the response performance of systems that require real-time performance ■ Features of RealtimeForesight that support solving these challenges ✓ Proprietary algorithm that achieves both high-speed processing and high-accuracy prediction ✓ Reduced latency through real-time prediction ✓ Lightweight design suitable for edge device and FPGA implementation ✓ Noise reduction and improved recognition accuracy
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basic information
■What is RealtimeForesight? This product is a technology that predicts one-dimensional to three-dimensional data that changes over time in real-time using AI technology. Generally, there is a challenge that increasing prediction accuracy leads to longer processing times, but Toshiba's uniquely developed algorithm achieves both "high-speed processing" and "high accuracy" simultaneously. This technology is characterized by its small-scale algorithm structure, making it easy to embed software into edge devices and implement hardware such as FPGAs. ■Features - Achieves both high-speed processing and high accuracy simultaneously through a unique algorithm - Small scale allows for easy software embedding and hardware implementation such as FPGAs - Capable of reducing noise and sharpening feature quantities
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Please feel free to contact us with any questions or requests for quotes. Our products and services are sold to businesses, organizations, and corporations.
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Applications/Examples of results
■Application Examples of RealtimeForesight for Touch Pens Generally, when drawing with a touch pen on a touch panel, a time lag occurs between the movement of the pen and the display on the screen. By applying RealtimeForesight to predict the movement of the touch pen, we improved the delay between the pen's movement and the drawing display by approximately 50%. RealtimeForesight is expected to be utilized in various fields and applications beyond touch panels, including drones, VR, depth sensors, heat maps, brain waves, and preprocessing for deep learning. Additionally, by leveraging this technology, effects such as noise reduction and feature sharpening can be achieved. For example, with a ToF sensor, improved object identification accuracy can be anticipated due to noise reduction. ■Implementation Example of FPGA By incorporating RealtimeForesight into an FPGA, we improved the time lag for gestures observed by an infrared array sensor and temperature display. Utilizing RISC-V allows for a design aimed at space-saving and low power consumption.
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Company information
We will provide optimal solutions that contribute to our customers' businesses through our "extensive experience and achievements accumulated over many years" and "high technical capabilities" in the fields of embedded and LSI design.
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