AME Provides Safety at the Intralogistics Workplace

Advanced Microwave Engineering (AME), a pioneer in workplace safety technology, has expanded the capabilities of its anti-collision solution AMESPHERE, available as “Safety-as-a-Service.” At this year’s LogiMAT, AME presented its new system AMESPHERE VISTA, which, thanks to integrated AI cameras, can also detect pedestrians who do not carry an electronic tag.

(Florence/Stuttgart) With these new solutions, AME completes its innovative system AMESPHERE ALPHA with UWB-LPS technology (Ultra-Wideband Local Positioning System) to achieve intelligent collision protection for complex logistics processes.

“Preventing collisions in real-time is essential for intralogistics safety, but it is only one component of a truly holistic solution. In the event of accidents, near misses, or other safety-related incidents, users need to know when, where, and why they occurred. Only then can they adjust and optimize operational processes accordingly. This is precisely what our product AMESPHERE Safety-as-a-Service provides – while the new extensions presented today further enhance this performance,” explains Claudio Salvador, President of AME.

AMESPHERE – System Overview

AME’s flagship, AMESPHERE ALPHA, is the first application for real-time monitoring of location safety. Users equip all individuals who may enter the danger zone of industrial vehicles with a portable electronic tag (AMESPHERE TAG), while the vehicles are equipped with a sensor that reads the tags (AMESPHERE KEY). This sensor detects all tagged pedestrians in the vicinity and sends their positions to the driver tablet (AMESPHERE TABLET).

The integration and coordination are managed by the AMESPHERE PLATFORM. This cloud-based software manages both the real-time data collection and exchange as well as the storage and querying of contextualized data. To this end, the platform digitizes the data for use in algorithms that relate the recorded events to the actual danger risk. Subsequently, a so-called “Efficiency Safety Indicator” (ESI) is generated, a single coefficient that represents the current safety and operational efficiency of each location – a unique performance feature of AME.

Supplementary Applications: AMESPHERE VISTA and AMESPHERE ONE.

The new AMESPHERE VISTA from AME enhances the LPS functionality with an AI camera that allows precise detection of pedestrians who do not carry a tag. Thanks to the integration capability into the ALPHA LPS, drivers can see both the positions and warnings of tagged pedestrians as well as those without tags, along with other events in the monitored area on the same screen.

“AMESPHERE VISTA uniquely integrates tag-based LPS collision protection with state-of-the-art AI camera technology. The LPS system shows the exact positions of tagged pedestrians, while the camera recognizes all individuals, whether they carry tags or not. No other anti-collision system connects LPS with artificial intelligence as elegantly as this,” asserts Filippo Bonifacio, CEO of AME.

The new AMESPHERE ONE offers modern collision avoidance features for smaller vehicles. In this all-in-one solution, a sensor detects tagged pedestrians either in adaptive mode or within pre-configured areas and warns drivers of impending collision danger via built-in LEDs. The system can be comfortably configured through a simple app, where monitoring zones can be adjusted to individual requirements in various shapes and areas – rectangular, elliptical, or circular.

Push Notifications Instead of Data Queries

The AMESPHERE ecosystem is directly connected to the cloud, where authorized personnel can access the collected data and conduct analyses at any time. The special feature: The system does not wait for queries but calculates the risk level of all events, developments, and insights using algorithms, subsequently alerting the responsible users via smartphone, email, SMS, and other methods.

Thus, the AMESPHERE ecosystem helps companies transform collected data into meaningful information – rather than merely gathering data from various sources. And since the system understands the information needs of different stakeholders, it turns raw data into actionable insights.

Photos: © AME