An HID Product: Omni-ID Passive RFID Tags

Proof of Excellence

Mayo Clinic Launches Staff Duress Solution for 7,000 Employees

Safety for Hospital Staff WITH BLE AND RTLS Mayo Clinic deployed a mobile solution for emergency situations based on BluFi, BLE and RTLS technology at its hospital in Rochester, Minnesota. To protect employees from violent or threatening situations, and to avoid calling out patients and their families, 7,000 employees on the Rochester campus of Mayo Clinic received a badge. This badge is equipped with an emergency button and an integrated BLE beacon. In the event of a critical situation, each employee can be located so that help can be provided immediately. HID's software and hardware components are combined with the clinic's implemented RTLS infrastructure. Success Story powered by: the Think WIOT Group, Mayo Clinic and HID.

Richard Aufreiter, HID: How RFID/IoT Can Turbo-Charge Automotive Production & Supply Chain Processes

Proof of Excellence

Optimizing Automotive Production Processes with RFID

Speaker: Richard Aufreiter, Vice President Product Marketing, HID Title: How RFID/IoT Can Turbo-Charge Automotive Production & Supply Chain Processes Content: HID offers a wide variety of custom tag designs for different applications in the automotive industry, including chargers, cables, gitterboxes, high-temperature tags, and batteryless RFID sensor tags. Richard Aufreiter will talk about machine learning and cloud analytics for real-time condition monitoring and vehicle localization during post production. Find how RFID and IoT technologies make these applications possible! Source: Think Wireless IoT Day 04-2023: Automotive Production + Parts Logistics + Tire Management + Wireless IoT Technologies Date: 21st June 2023

Proof of Excellence

Laundry Management with UHF RFID and CLOUD SERVICES

Les Lavandières de Provence Les Lavandières de Provence is a family business and Laurence Hakimi, General Manager, already represents the fourth generation. The company employs up to 20 people full time and handles five tons of laundry per day. Thousands of linen items such as bedsheets, duvet covers, towels, table cloths, aprons, and kitchen linen are received, washed, maintained and shipped to customers in this 1000 m2 industrial laundry in Rognac, near Aix-en-Provence in the south of France. Success Story powered by: the Think WIOT Group, Les Lavandières de Provence and HID.

David Owen, Omni-ID (Part of HID Global): Taking Passive RFID to New Levels with the Addition of Temperature, Liquid Fill Level & Moisture Monitoring

Proof of Excellence

RFID Deployment for Temperature, Humidity & Volume Measurement

Lecturer: David Owen, Marketing Manager at Omni-ID (Part of HID Global) Title: Taking Passive RFID to New Levels with the Addition of Temperature, Liquid Fill Level & Moisture Monitoring Content: Omni-ID, the pioneer of passive industrial radio frequency identification (RFID) tags, part of HID Group, has extended its Sense family of devices with the introduction of its new range of temperature, moisture-sensing and liquid volume measurement devices that incorporate the Axzon Magnus® M3D chip and meet a broad range of industrial, IT and healthcare requirements. The broad range of use cases includes monitoring the volume of liquids in glass vials for vaccine management systems; monitoring the temperature of machine components to enable predictive maintenance; cold chain management of foods and pharmaceuticals and monitoring the moisture levels and temperature of servers in data centers. Source: Think Wireless IoT Day 02-2022: Automotive, Industrial Production & Wireless IoT Technologies Date: March 16th 2022

Brad Williams, HID Global: Reducing Invisible Waste & Unplanned Asset Downtime with Wireless IoT Sensors

Proof of Excellence

Reducing Invisible Waste & Asset Downtime with WIoT Sensors

Lecturer: Brad Williams, Global Sales Director, Industrial – IoT Services, HID Global Title: Reducing Invisible Waste & Unplanned Asset Downtime with Wireless IoT Sensors Content: Production machines and equipment are retrofitted with sensors. Measured values such as vibration and temperature are obtained. Based on the collected data, plant condition is monitored in real time. Machine learning is used to automatically detect as soon as the measured values deviate from normal values. An alarm calls maintenance personnel to action. Additionally, predictive maintenance is enabled. Brad Williams presents various case studies for the use of sensors for condition monitoring and explains how companies can ensure high plant availability and prevent downtimes. Source: Think Wireless IoT Day 06-2022: Industrial IoT & WIOT Technologies Date: November 16th 2022