Real-time prediction of time-series 3D data. AI prediction technology "RealtimeForesight" that achieves both high speed and high accuracy.
Do you have any of the following concerns? ● Processing sensor data and 3D data takes time ● Improving prediction accuracy slows down processing ● AI cannot be used in devices that require real-time performance ▼ Leave it to our ultra-fast, high-precision AI prediction technology "RealtimeForesight"! ―― Features ――――――――――――――――――――――― ◆ Our unique algorithm achieves both fast processing and high-precision predictions ◆ Small-scale AI model capable of real-time processing ◆ Easy implementation on edge devices and FPGAs ――――――――――――――――――――――――――――― RealtimeForesight is a technology that predicts 3D data that changes over time using AI technology.
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basic information
■What is RealtimeForesight? This product is a technology that predicts one-dimensional to three-dimensional data, which 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 or 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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Applications/Examples of results
■Application Examples of RealtimeForesight with Touch Pens Generally, when drawing with a touch pen on a touch panel, there is a time lag between the movement of the pen and the display on the screen. By applying RealtimeForesight to the prediction of the pen's movement, we improved the delay between the pen's motion 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 expected due to noise reduction. ■Implementation Example of FPGA By incorporating RealtimeForesight into an FPGA, we improved the time lag from gesture observation and temperature display using an infrared array sensor. Utilizing RISC-V enables a design aimed at space-saving and low power consumption.
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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.
