Feature: Sensor Technology
Kyocera’s AI-based high-resolution depth sensor for close imaging sets
new records By The Kyocera Group
T
he world’s first to deliver 100 μm resolution at 10 cm range, even with tiny, reflective or semi- transparent objects. Ideal for highly accurate
measurement towards flexible automation. Kyocera Corporation is introducing a
high-resolution AI-based depth sensor for measuring tiny objects that have been difficult to measure using conventional depth-sensing technologies. Kyocera’s new camera delivers record-setting depth measurements with 100 μm resolution at a 10 cm range, even from reflective or semi-transparent objects. Kyocera’s innovation will support manufacturing, medicine, logistics and a variety of other fields requiring automated identification and precise depth measurement, unlocking the potential of AI and robotics with vision capabilities far exceeding the human eye.
Features: Kyocera’s AI-based high- res depth sensor for close imaging 1. Dual-lens sensor measures tiniest objects A unique configuration incorporating two lenses on a single sensor, Kyocera’s AI-based depth sensor provides the industry’s highest-resolution depth measurements to date among stereo cameras. The exceptionally narrow baseline of Kyocera’s depth sensor allows it to calculate the positional disparities of an object through the left and right lenses at a shorter distance than conventional methods. This precision enables the sensor to make accurate
measurements of even the smallest objects. 2. Measure reflective or semi- transparent objects Kyocera’s AI stereo vision algorithms enable precise depth measurements of reflective or semi-transparent objects. Traditional stereo vision algorithms involve matching objects between leſt and right images. However, reflective or semi-transparent objects oſten lack the necessary contrast, or are challenging to identify as the same object, causing measurement errors. Kyocera’s AI-based methods leverage extensive training data to measure accurately, even with challenging reflective or semi-transparent objects.
Additionally, Kyocera improved and accelerated the CG rendering calculation method. Tis CG simulation for AI training makes it possible to adapt to new objects and environments, allowing for highly accurate 3D distance measurement, even with reflective or semi-transparent objects. Kyocera’s label-free pre-training
technology has been recognised internationally for its novelty and effectiveness, including acceptance at BMVC 2024 (Te 35th British Machine Vision Conference), one of the world’s leading conferences in the field of machine vision.
Along with their advantages, AI-based
approaches oſten include high annotation costs and extended training times due to the extensive data required for high accuracy. Kyocera therefore developed two key technologies to reduce training costs: 1. Label-free pre-training 2. Data generation using computing graphics for ten times more precise measurements Kyocera’s distinctive AI solution utilises
pre-training technology without labels, providing equivalent recognition with only 10 per cent of the training data. To address the issue of conventional AI requiring large amounts of training data, Kyocera developed a computer graphic data-generation technology. Tis technology enables the automatic generation of training data in a CG simulation environment that accurately reproduces the target objects and settings.
Future developments Kyocera’s high-resolution AI-based depth sensor has many applications, including integration with robotic arms in manufacturing for precise depth measurement of objects as small as 1 mm. With this level of precision, robotic arms could select individual parts from a batch in a warehouse and recognise high-resolution body measurements or reflective surgical instruments in the medical field. Transport robots in logistics and retail could also more accurately monitor surroundings with this new innovation, helping to address labour shortages and boost societal productivity. Te technology has been exposed at CES 2025 trade fair that took place from January 7 to 11 in Las Vegas, USA.
For more details, visit: https://global.
kyocera.com/ces/2025/
index.html
www.electronicsworld.co.uk February 2025 13
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