Each day, PAK picked up soiled linen which had been hand counted by its customers. On the following day, they were expected to return the exact same amount of linens. However, manual counts conducted by PAK’s customers were always inaccurate (a problem inherent to soiled counting) and not being able to return exact amounts was very problematic. PAK sought an RFID-enabled textile-tracking system to enable total linen monitoring throughout the whole linen cycle, while increasing facility and operation efficiency, preventing loss and ensuring customers receive the correct textiles. PAK chose to work with USTEK RFID Solutions, a sister company that designs and manufactures integrated RFID terminals for industrial laundry markets worldwide. It was challenging to find RFID products that operated well in the PAK facility, as the environment was damp and full of metal trolleys. After testing many different readers, chips and antennas in the facility, USTEK and PAK chose to use Impinj products due to their superior performance.

• Tracking the movement of trucks carrying valuable containers in order to plan shipment of empty containers back to India • Reduction of delays in the arrival of containers • Ability to track every stage of the containers • Avoiding manual intervention to know exact container location • Automation to intimate the position and arrival time of containers

The existing system used by the customer could only track a few thousand assets and was able to generate only a few standard set of reports. As the number of assets tracked grew exponentially, the system started to break at the seams. The Tracking devices were from different manufacturers following different protocols. There was no proper integration among the devices to send instant alerts. There are thousands of tracking devices spread across multiple geographies, that are moving. The configuration and troubleshooting of these devices incurred heavy costs, which was a logistics challenge. The existing system did not provide sophisticated Analytics, Business Intelligence and Insights from the data

Disease tracking use cases use unified reporting platforms to provides management with a holistic overview of population health conditions across multiple sites and over time. They can be deployed across the general population or for a specific population such as a factory's employees. Disease tracking enables the remote monitoring and supervision of health conditions, as the integration of data inputs from multiple sources, such as IoT devices, applications, corporate policy, and government regulations. Platform typically integrate diagnostic inputs, such as temperature monitoring, with travel history and records from existing systems. Contact tracing may also be used in an epidemic. Dynamic indicators are displayed to inform management and regulators of potential health concerns. The main technologies used are IoT devices (data inputs), cloud-based platforms, APIs that enable integration with existing systems, and end user applications.

Behavior and emotion tracking uses video, audio sensors, wearables, geolocation markers, and other data sources to track and infer people's emotions and behaviors. For example, facial recognition based on machine vision and machine learning technologies can translate data into emotional and behavioral insights. The use of sensor data to analyze the same situation from different perspectives provides richer insights. Existing case studies of implementations of this use case include consumer focused applications such as shopper insights, social media analytics, crowd safety and survillence, and localized product marketing insights.

Personnel tracking and monitoring tracks the activities and locations of employees within a facility or operational area. It is commonly used to monitor attendance, control access to restricted areas, track occupancy and movements between different areas, and guarantee workplace security. Wearables can be used to track employees' physical conditions such as heartbeats and temperature. These systems are usually made up of beacons embedded in an access card or device and locators that detects beacons and connects them to the cloud, such as gateway hubs with omni-directional antennae or gateway radars.