Fosen Electronics to showcase AI and environmental sensors at Canton Fair

Henan Fosen Electronics Technology to Showcase AI and Environmental Sensors at the 138th Canton Fair Guangzhou, China – Henan Fosen Electronics Technology Co., Ltd. is pleased to announce its participation in the 138th China Import and Export Fair (Canton Fair) from October 15 to 19, 2025, at the Pazhou Complex in Guangzhou. The company will exhibit its cutting-edge Artificial Intelligence (AI) and Environmental Sensing Sensors at Booth No. 8.1L05-06, showcasing innovative solutions for smart technology and environmental monitoring. As a leading provider of advanced sensor technologies, Fosen Electronics specializes in high-precision sensors designed for AI applications and environmental detection. Visitors to the booth will have the opportunity to explore the latest advancements in sensor technology, including IoT-enabled devices, industrial automation solutions, and eco-friendly sensing systems. Event Details: Exhibition: 138th Canton Fair (Phase 1) Date: October 15–19, 2025 Location: No. 380, Yuejiang Middle Road, Haizhu District, Guangzhou, China (Pazhou Complex) Booth No.: 8.1L05-06 Featured Products: AI-driven sensors, environmental monitoring sensors, and smart sensing solutions

Sensor Innovation develops AI-powered sensor systems that detect moisture and condensation at an early stage. The company combines research expertise with practical applications, creating reliable solutions to prevent costly damage and improve sustainability. Their cutting-edge sensors are designed to detect moisture and condensation before problems escalate, helping clients respond fast and save resources. Sensor Innovation’s advanced hybrid-AI sensor system proudly carries the Made in Norway origin label. 🇳🇴 Discover how Norwegian-made sensors are enabling early detection of moisture and condensation. 👉 Read the full story here: https://lnkd.in/dnyVKvY7

Moisture and condensation may seem like small issues at first, but left undetected they can lead to costly damage and unnecessary waste of resources. At Sensor Innovation, we believe prevention starts with knowledge. That’s why we’ve developed advanced AI-powered sensor systems that detect moisture and condensation early, helping our customers act before problems escalate. 🔬 By combining expertise with practical applications, we create reliable solutions that not only protect assets but also support sustainability goals. 🇳🇴 And we’re proud that our hybrid-AI sensor system carries the Made in Norway origin label—a testament to quality and innovation. #sustainability #innovation #technology

How do you know if – and when – you're being exposed to cancer-causing substances at work? Traditional methods often miss short-term peaks in exposure. But new, low-cost sensors are changing that. Researchers at TNO (Netherlands Organisation for Applied Scientific Research) are exploring how low-cost sensors can help detect harmful substances in the workplace – including welding fumes, hardwood dust, and silica. 🔍 Their newly published guideline, 'Particulate Matter Sensors in the Workplace,' offers practical insights on using low-cost sensors to improve safety in work environments. (Link in first comment.) 🗣️ Sander Ruiter, TNO researcher: “Sensors are easier to use and cheaper [than filter measurements], since you do not need a laboratory. They can also measure in real time. For example, you can see if there was a peak in exposure at 11 o’clock for five minutes. With sensors, you get results immediately and can more easily trace back what a worker was doing at that moment.” #HealthAndSafetyAtWork #EUHealthyWorkplaces #OccupationalHealth #WorkplaceSafety #stopcarcinogensatwork

Low-cost sensors can make it easier to detect dangeruous substances at work. 💡 TNO new guideline shows how they can strengthen exposure monitoring and worker protection. #StopCarcinogensatWork

I am pleased to share that our latest article was published yesterday on Artificial Intelligence for Energy Intelligence in Cleanrooms. The article can be considered a call to the FGI and other energy and governing organizations to consider reducing ACH while maintaining contaminant levels within the cleanroom environment. Here is the link: https://lnkd.in/eFyeJew6.

New KU Leuven Sensor Identifies Gases More Accurately with A ‘Speed Camera’ System From breath analysis to explosive detection: these applications require reliable electronic ‘noses’. Unfortunately, current technology often falls short. https://lnkd.in/eZuhAWfe #StatNano #NBIC #Nanotechnology #GasSensors #ElectronicNose #KUL #SensorTechnology #Innovation #DetectionSystems

Most cities can’t afford to install sensors everywhere, yet traffic management needs a full picture to work effectively. So what can we do? Happy to share our latest paper published on IEEE T-ITS on network-wide traffic state estimation with limited sensors, it's our second one in the series! Our study introduces the Dirichlet Graph Auto-Encoder (DGAE) - a model that learns how traffic moves, how congestion builds up and flows clear out, even on roads without any sensors. 🧪 Key Highlights: 📉 Predicts traffic more accurately (up to 10% improvement) using fewer sensors ⚙️ Works well even when the network changes or across different cities ⚡ A simpler version also performs strongly when data is extremely limited This is a wonderful collaboration between Zhejiang University, ETH Zurich, and City University of Hong Kong, led by my PhD student Qishen Zhou, with Zhang Yifan, Michalis Makridis, Tasos Kouvelas, and Yibing Wang. 👉 Open-source code: https://lnkd.in/eruBNw69 📄 Access the paper: https://lnkd.in/e2HbpvPr #TSELab #AIforCities #SmartMobility #TrafficResearch #UrbanTransport #GraphNeuralNetworks #Collaboration

Our colleagues Chao Wang, Jaime Gonzalez-Libreros, Gabriel Sas, together with Zhanchong Shi from Politecnico di Milano, are organizing a mini symposium “MS01 Structural health monitoring and assessment of aging railway infrastructures” in SMAR 2026. This mini symposium aims to bring together researchers and practitioners working on innovative methods to monitor, assess, and manage the performance of railway infrastructure. We welcome contributions on (but not limited to): 1. Advanced monitoring and sensing technologies; 2. Data-driven approaches, machine learning, and digital twin for SHM; 3. Environmental effects on railway infrastructure performance; 4. Predictive and condition-based maintenance strategies; 5. Real-world case studies and implementation challenges; 6. Risk assessment and decision-support tools. 📃 Abstract submission deadline: 2025-10-29. 🗓️ Submit you abstract: https://lnkd.in/ei5p7d5X Join us in Dresden for SMAR 2026 to exchange insights and shape the future of smart, resilient railway infrastructure! #SMAR2026 #CallforAbstract #SHM #AssessmentStrategy #RailwayInfrastructure

𝐉𝐨𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐨𝐭𝐨𝐧𝐢𝐜𝐬 𝟒 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩 Photonics is revolutionising industries worldwide — and the food sector stands at the forefront of this transformation. At this year’s #SynergyDays, dive into the future of food quality monitoring through an interactive, expert-led workshop. This engaging session, organised within the framework of the EU project Phorwards21, will explore how photonics-driven technologies are reshaping the way we ensure safety, consistency, and excellence in food production. Session: Photonics 4 Quality Monitoring – Smart solutions driving the food industry forward Date: 22 October 2025 Time: 11:15 – 12:45 Location: Synergy Days, De Doelen, Rotterdam Hosted by: PhotonicsNL, Phorwards21, HIGHFIVE, and SIXFOLD What to Expect: Discover how smart sensors and vision technologies enable real-time food quality monitoring Explore cutting-edge innovations shaping the future of the food industry Gain practical insights from real-world success stories Don’t miss this opportunity to connect with technology leaders and food industry experts driving innovation at the intersection of photonics and quality assurance. 👉 Check for more information https://lnkd.in/dzys7qsx