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October 20, 2019 at 5:45 am #35351
#News(General) [ via IoTGroup ]
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Semtech’s LoRa® Devices Prevent Food Waste in Restaurants
Semtech Corporation announced that GND Solutions (GND), an Internet of Thin
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GND Solutions’ LoRa-enabled temperature sensors reduce restaurant operational cost by 40 percent.
Semtech Corporation announced that GND Solutions (GND), an Internet of Things (IoT) solution provider for the industrial, smart city and smart energy segments, has integrated Semtech’s LoRa® devices and the LoRaWAN® protocol into its new smart refrigeration solutions for restaurant applications.
Recently, a seven-story, five-star restaurant in Dubai deployed GND’s LoRa-based solutions into its kitchens and refrigerators.
Following the solution’s deployment, the restaurant saw a reduction of up to 40 percent of its operational cost due to greater food management efficiency.
Siva Reddy, Founder and MD at GND Solutions, said:
“Accurately, efficiently and reliably monitoring food from refrigerator to table is one of the most prominent challenges in a restaurant setting.”
“Utilizing the advantages of Semtech’s LoRa devices for a simple deployment, GND installed a single gateway and 500 sensors in the Dubai restaurant.
Restaurant managers were then able to leverage the IoT solution to monitor the temperature data of food in real time as it moves throughout the kitchen.”
In the United States alone, food waste is estimated to be between 30 to 40 percent of the total food produced annually.
In the restaurant industry, managers carefully monitor food from refrigerator to table to prevent waste and extend shelf life.
However, many factors affect food safety and contribute to waste, most notably human error in handling and storage.
GND’s GLoSe-916T is a LoRaWAN-based wireless IoT solution for humidity and temperature monitoring.
For restaurant applications, these IoT solutions provide real time data for managers to ensure the shelf life of food is maximized and it remains safe to consume.
The LoRa-enabled sensors report temperature data to managers at customizable intervals to eliminate human error and allow close surveillance of food condition and safety
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