SARAD offers the world-wide largest range of radon instruments for every application—starting from inexpensive monitors for home owners over professional instruments for home inspectors, geologists and radiation protection officers, sensors for building automation up to complex stations for volcano and earthquake research.

SARAD GmbH - Detektoren für Nukleare Sicherheit, Radon, Thoron, radioaktive Aerosole sowie Instrumente zu Gas Monitoring und Geo-Chemie

sarad aer 5000 台式放射性气溶胶在线连续监测仪 Aer 5000 是Aer系列产品中的台式版本，用于连续监测空气中具有长效放射性的气溶胶颗粒(LLRD)，通常应用于原子能设施场所，NORM工业，矿山矿井以及放射性医疗等现场(例如参照DIN ISO16639/VDE 0493-1-6639标准)。

Sarad is an unmanned aerial vehicle (UAV) designed by a group of Mechanical engineers (Sarad group) at Imam Khomeini International University. Sarad could [ verification needed ] rank second in 2nd National UAV Design and Construction Contest held in Sharif University of Technology among 46 contestants from state and Azad universities.

sarad公司是一家在环境测量仪器制造领域具有领先位置的高科技企业。sarad的产品在全世界范围内被广泛应用，是现代环境测量仪器领域中不可取代的成员。公司产品基于物理学，电子学，微电子工程系统高新技术的结合，具有高可靠性，牢固性，易于操作等优点。

sarad生产的深层离子注入型半导体探测器,是半导体离子注入新工艺产品。 使用离子注入装置，对离子进行加速，经过筛选和聚焦和再加速，射入硅片内部，整个过程都在真空状态下进行。

SARAD bietet dass weltweit breiteste Angebot an Radonmesstechnik für jeden Anwendungsfall – vom preiswerten Monitor für zu Hause über Profigeräte für Baubiologen, Geologen und Strahlenschutzverantwortliche, Sensoren für die Gebäudeautomation bis hin zu komplexen Stationen für Vulkanismus- und Erdbebenforschung.

SARAD GmbH was founded by the physician Prof. Dr. Thomas Streil in 1993. The company started as a service provider assessing radioactive polluted properties with regard to their later decontamination. After a short time, the development of electronic measuring instruments was …

Even in the basic version, the RTM 2200 represents the perfect radon/thoron monitor for any kind of radon measurement. The outstanding performance of the unit becomes really visible, if complex sampling procedures must be applied.

2024年9月25日 · To exploit the phenomenon and yet dismiss non-anomalous descent, SARAD performs anomaly detection via autoencoding in the association space. We present experimental results to demonstrate that SARAD achieves state-of-the-art performance, providing robust anomaly detection and a nuanced understanding of anomalous events.