This free iPad gas detection app from Nextteq provides access to complete technical information for Gastec pumps and tubes for more than 600 applications, sampling accessories, first response/hazmat testing, water and soil analysis, respirator fit testing and other gas detection kits.

The ALTAIR Connect App is now available on Google Play for tablets or smartphones running Android 4.0 or higher.

ZeroEyes’ software has been integrated into the Aegix AIM active incident management platform since spring 2023.

ZeroEyes announced that its AI gun detection solution has been selected by West Feliciana Parish Schools (WFPS) to help mitigate gun-related violence.

Sarasota County Schools already completed a successful deployment in one of its high schools the past year, which received overwhelmingly positive results and response from parents and staff, according to the announcement.

Pricing details will be made available to RAD’s dealer channel and clients upon request.

Vertex Edge is a cost-effective gas detection solution designed so workers can quickly evaluate gas readings, alarms, event logs, real-time trends and overall system status.

Gas and flame detection solutions provider Teledyne Gas and Flame Detection has a new website. Go to teledynegasandflamedetection.com to find new content on a range of gases – including hydrogen, carbon monoxide, oxygen and ammonia.

Both X-ray and metal detection machines can prevent a lot of headaches. But if this is your first time purchasing a system, determining which is right for your operations can be confusing.

Milchwerke Schwaben’s presence in the dairy industry starts as early as 1922, dairy farmers in Ulm, Germany joined together to form a cooperative that would make it possible to produce dairy products with greater efficiency. This merger resulted in a company whose products meet the needs of consumers throughout Germany and abroad.

Changing characteristics, product and orientation effect can disrupt product signals and affect detection sensitivity if not addressed. However, digital technologies and machine learning are pushing the innovation boundaries and streamlining inspection processes.

Graylog has unveiled significant security advancements to drive smarter, faster and more cost-efficient security operations. The company’s latest capabilities include advanced data routing, asset-based risk scoring and AI-generated investigation reports.

Veracity Trust Network (Veracity) has been awarded the Cybersecurity Co-Innovation and Development Fund (CCDF) CyberCall grant of S$1 million by the Cyber Security Agency Singapore (CSA).

Elo, a Silicon Valley-based global provider of interactive solutions, has announced major enhancements to its Elo Access App.

The correct determination of X-ray transmission at X-ray nanoprobes equipped with small beamstops for small- and wide-angle X-ray scattering collection is an unsolved problem with huge implications for data correction pipelines. We present a cost-effective solution to detect the transmission via the X-ray fluorescence of the beamstop with an avalanche photodiode.

We explain analysis of RIXS, HERFD and XR-HERFD data to discover new physical processes in manganese and manganese-containing materials, by applying our new technique XR-HERFD, developed from high resolution RIXS and HERFD.

Quantitative X-ray diffraction approaches require careful correction for sample transmission. Though this is a routine task at state-of-the-art small-angle X-ray scattering (SAXS), wide-angle X-ray scattering (WAXS) or diffraction beamlines at synchrotron facilities, the transmission signal cannot be recorded concurrently with SAXS/WAXS when using the small, sub-millimetre beamstops at many X-ray nanoprobes during SAXS/WAXS experiments due to the divergence-limited size of the beamstop and the generally tight geometry. This is detrimental to the data quality and often the only solution is to re-scan the sample with a PIN photodiode as a detector to obtain transmission values. In this manuscript, we present a simple yet effective solution to this problem in the form of a small beamstop with an inlaid metal target for optimal fluorescence yield. This fluorescence can be detected with a high-sensitivity avalanche photodiode and provides a linear counter to determine the sample transmission.

TEMPUS is a new detector system being developed for photon science. It is based on the Timepix4 chip and, thus, it can be operated in two distinct modes: a photon-counting mode, which allows for conventional full-frame readout at rates up to 40 kfps; and an event-driven time-stamping mode, which allows excellent time resolution in the nanosecond regime in measurements with moderate X-ray flux. In this paper, the initial prototype, a single-chip device, is introduced, and the readout system described. Moreover, and in order to evaluate its capabilities, some tests were performed at PETRA III and ESRF for which results are also presented.

Data collection at X-ray free electron lasers has particular experimental challenges, such as continuous sample delivery or the use of novel ultrafast high-dynamic-range gain-switching X-ray detectors. This can result in a multitude of data artefacts, which can be detrimental to accurately determining structure-factor amplitudes for serial crystallography or single-particle imaging experiments. Here, a new data-classification tool is reported that offers a variety of machine-learning algorithms to sort data trained either on manual data sorting by the user or by profile fitting the intensity distribution on the detector based on the experiment. This is integrated into an easy-to-use graphical user interface, specifically designed to support the detectors, file formats and software available at most X-ray free electron laser facilities. The highly modular design makes the tool easily expandable to comply with other X-ray sources and detectors, and the supervised learning approach enables even the novice user to sort data containing unwanted artefacts or perform routine data-analysis tasks such as hit finding during an experiment, without needing to write code.

For a reliable characterization of materials and systems featuring multiple structural levels, a broad length scale from a few ångström to hundreds of nanometres must be analyzed and an extended Q range must be covered in X-ray and neutron scattering experiments. For certain samples or effects, it is advantageous to perform such characterization with a single instrument. Neutrons offer the unique advantage of contrast variation and matching by D-labeling, which is of great value in the characterization of natural or synthetic polymers. Some time-of-flight small-angle neutron scattering (TOF-SANS) instruments at neutron spallation sources can cover an extended Q range by using a broad wavelength band and a multitude of detectors. The detectors are arranged to cover a wide range of scattering angles with a resolution that allows both large-scale morphology and crystalline structure to be resolved simultaneously. However, for such analyses, the SANS instruments at steady-state sources operating in conventional monochromatic pinhole mode rely on additional wide-angle neutron scattering (WANS) detectors. The resolution must be tuned via a system of choppers and a TOF data acquisition option to reliably measure the atomic to mesoscale structures. The KWS-2 SANS diffractometer at Jülich Centre for Neutron Science allows the exploration of a wide Q range using conventional pinhole and lens focusing modes and an adjustable resolution Δλ/λ between 2 and 20%. This is achieved through the use of a versatile mechanical velocity selector combined with a variable slit opening and rotation frequency chopper. The installation of WANS detectors planned on the instrument required a detailed analysis of the quality of the data measured over a wide angular range with variable resolution. This article presents an assessment of the WANS performance by comparison with a McStas [Willendrup, Farhi & Lefmann (2004). Physica B, 350, E735–E737] simulation of ideal experimental conditions at the instrument.

High-energy X-ray diffraction methods can non-destructively map the 3D microstructure and associated attributes of metallic polycrystalline engineering materials in their bulk form. These methods are often combined with external stimuli such as thermo-mechanical loading to take snapshots of the evolving microstructure and attributes over time. However, the extreme data volumes and the high costs of traditional data acquisition and reduction approaches pose a barrier to quickly extracting actionable insights and improving the temporal resolution of these snapshots. This article presents a fully automated technique capable of rapidly detecting the onset of plasticity in high-energy X-ray microscopy data. The technique is computationally faster by at least 50 times than the traditional approaches and works for data sets that are up to nine times sparser than a full data set. This new technique leverages self-supervised image representation learning and clustering to transform massive data sets into compact, semantic-rich representations of visually salient characteristics (e.g. peak shapes). These characteristics can rapidly indicate anomalous events, such as changes in diffraction peak shapes. It is anticipated that this technique will provide just-in-time actionable information to drive smarter experiments that effectively deploy multi-modal X-ray diffraction methods spanning many decades of length scales.

Increased research is the key to developing more widely applicable detection systems to find pipe bombs before they explode and to help catch the perpetrators when a bomb has gone off, says a new report from a committee of the National Research Council.

Good morning. On behalf of the National Academies and my colleagues on the committee, I welcome those of you in the room as well as those listening to the live audio webcast.

With the rise in cybercrime, India is today ranked 10th on the World Cybercrime Index. Indians lost more than Rs 1,750 crore to cyber criminals in the first four months of this year itself. In fact, according to the RBI's annual report, the number of online fraud cases has increased by 708% in the last two years.

Mettler Toledo's next-generation metal detection systems are designed to identify contaminants in a range of food manufacturing applications, with game-changing SENSE software extending intelligent control across the entire system.

With the two side shooters Dymond DSV and Dymond D Monoblock, Minebea Intec presents two new products for its premium portfolio in the field of horizontal X-ray inspection.

When it comes to new developments in inspection/detection equipment for the snack and bakery industry, consumer demand for variety is driving the need for equipment that is flexible enough to accommodate new product types, packaging materials, and package sizes.

WIPOTEC-OCS recently debuted a groundbreaking multi-function metal detection-checkweigher-vision module.

Like all types of food operations, snack food, and wholesale bakery plants need to monitor and maintain quality control, which prompts the need for inspection and detection equipment and technology to ensure that particles of glass, stone, and other contaminants don’t inadvertently get mixed into their formulations.

There’s nothing worse than coming home to find a burst pipe or malfunctioning water heater has flooded your basement. It’s perhaps why leak detection and prevention products continue to become more popular each year.

John Wallace, owner of Atlanta-based JM Wallace Plumbing, has been offering leak detection solutions since 2007, but it’s only recently during the last few years where he’s really seen the technology take off.

Gen-Ear LE can pinpoint water leaks in residential and commercial water lines – including problems in walls and under concrete slabs, swimming pools and hot tubs.

Unauthorized smoking is a major challenge for any hotel with the actual costs of smoking averaging four to five times the cleaning fee. 

MSA Safety’s innovative gas detection systems can communicate and share alerts, helping you keep workers safer than ever before.

Working alone and working at heights for me began years ago as an instrument technician in a large steel mill in western Pennsylvania. We always tried to work in pairs but there were occasions when I had to work alone or apart from my buddy.

"We are addressing the critical needs of government agencies to receive alarms in real-time a comprehensive understanding and efficient management of explosives and narcotics detection systems across the country and globally." Doron Shalom.

The expanded detection capabilities enable homeland security agencies, EOD units, defense forces and first responders to detect and identify a wider range of dangerous explosives and narcotics evolving threats within seconds.

MS Detection's sensors, products and solutions will increase the level of security in borders control checkpoints, EOD units, aviation security and air cargo screening activities.

Peerbridge Health is pleased to announce the successful completion and findings of its prospective, feasibility clinical trial, resulting in a statistically significant 91.2% predictive accuracy for the determination of apnea-hypopnea index (AHI).

Special discounts available through October with local businesses

MS Detection's sensors, products and solutions will increase the level of security in border control checkpoints, EOD units, aviation security and air cargo screening activities.

MS Detection's sensors, products and solutions will increase the level of security in borders control checkpoints, EOD units, aviation security and air cargo screening activities across Asia-Pacific

Optimizing Industrial Processes with Cutting-Edge Foam Control Systems

Fiber optic-based oil-in-water analyzer uses unique combined fluorescence and turbidity measurement technique

Ensure Compliance and Protect Your Home with Rocko's State-of-the-Art Leak Detection Systems

A Groundbreaking Alliance Providing Businesses with Powerful Real-Time Protection Against AI-Generated Audio Threats

Enhancing Fraud Detection with Blockchain Technology for Faster and More Secure Fund Recovery

MS Detection's sensors, products and solutions will be used for primary and secondary screening of passengers and carry-on baggage to increase the level of security and passenger throughput in aviation security

The CNRS, the Gephi Consortium and the University of Aalborg... more