Real-time Python execution environment "RT-Python" - Just as Python, on a single machine.

"Civil Engineering Watching - Infrastructure Encyclopedia: Collection of Civil Engineering Structures Photos" is a portal site for images and information about civil engineering structures that form social infrastructure facilities. Recently, we have published photos and articles about the "Leonardo da Vinci Bridge." The "Leonardo da Vinci Bridge" was constructed in the 1950s in Sasso Marconi, Italy. After more than 70 years of intensive use, it was closed to traffic in 2021 due to severe damage, and renovation work has begun. In addition to the "Leonardo da Vinci Bridge," various civil engineering projects, photos, and articles related to civil engineering are also featured, so we hope you will take a look. Please check from the "Related Links" (Civil Engineering Watching - Infrastructure Encyclopedia: Collection of Civil Engineering Structures Photos). Perry Japan Co., Ltd.

Hotron Inc. has launched its new product, the "Vehicle Count Sensor CCS3"! This product is a ceiling-mounted sensor that combines infrared and radar technology. It reliably detects vehicles in both directions with a single unit, accommodating traffic during congestion and vehicle passing, thus achieving efficient occupancy management in large parking lots. Additionally, it can be utilized for exit warning purposes in addition to vehicle counting, contributing to the safe and smooth operation of parking facilities. 'Features' - Improved detection performance against changes in road surface during rainy weather by using both infrared and radar. - Equipped with IP67 waterproof and dustproof performance, making it effective even in salt damage areas. - Various settings can be configured from a dedicated app (for Android devices), with current settings easily visible at a glance. - The base dimensions are the same as the previous model "CCS2," allowing for smooth replacement of existing equipment. *For more details, please refer to the product information, catalog download, or contact us.*

RT-Python is a runtime that provides hard real-time control for Python applications responsible for AI and image processing on Windows PCs. 【Do you have these issues?】 - Unable to implement processes built with PyTorch or OpenCV for device control - The cycle of time.sleep() or loops does not behave as intended - While the average is fine, there are occasional significant delays - Sampling intervals are inconsistent, leading to unstable FFT or anomaly detection results The cause is that Windows is a general-purpose OS. It cannot guarantee an upper limit on processing time, and delays ranging from a few milliseconds to several tens of milliseconds can occur unexpectedly. Therefore, traditionally, it was necessary to separate control to a PLC or another PC and build communication and synchronization. 【Main application examples】 Appearance inspection equipment / AI sorting machines / Robot vision 【Product introduction page】 Product details: https://www.mnc.co.jp/RT-Python/index.htm Demo video: https://www.youtube.com/watch?v=ofkmtsOTgmY For inquiries about implementation or estimates, please feel free to contact us.

We have newly added a new (Neo) rockfall protection net, "Neo Lock Net," which solves the challenges of traditional rockfall countermeasures, to our product lineup and have begun sales. The Neo Lock Net is a post-type rockfall protection net that covers slopes with a risk of rockfall using wire mesh and wire ropes, safely guiding falling rocks to the bottom. It employs a self-supporting post structure based on pile foundations, eliminating the need for support materials such as mountain-side anchors or guy ropes. Additionally, it is possible to install a single-pipe scaffold for wire mesh installation work on the posts, enhancing safety and workability during high-altitude operations. The structure integrates the capture and guidance of falling rocks, absorbing rockfall energy with the wire mesh that covers the slope from the stopping surface. By adding this post-type rockfall protection net to our lineup, we will flexibly respond to various needs on site.

Swallow Incubate Co., Ltd. has started providing the latest version 2.4.0 of its "Impersonation Detection SDK," which detects "impersonation" using photos, smartphone screens, and printed materials during face recognition and identity verification, starting September 29, 2026. In this version, the core fake detection models (for landscape and portrait images) have been updated to enhance generalization performance, allowing for stable detection against unknown shooting environments and unknown attack patterns. Evaluation using approximately 1 million frames of in-house verification data has confirmed a detection accuracy of 99.9% (in-house evaluation). The detection engine for the "Impersonation Detection API" available on the cloud (AWS Marketplace) has also been updated to version 2.4.0. There are no changes to the pricing plans. A trial version of the SDK (Windows / Linux / iOS / Android) is available for free for one month.