UnaBiz Units New File for Wi-Fi Geolocation Accuracy

UnaBiz Units New File for Wi-Fi Geolocation Accuracy
UnaBiz Units New File for Wi-Fi Geolocation Accuracy


UnaBiz, a Large Web of Issues (IoT) service supplier and integrator, publicizes a exceptional milestone: attaining over 90 p.c geolocation success fee with the evolution of its Sigfox Atlas Wifi service, now enhanced with Machine Studying (ML).

This achievement reinforces UnaBiz’s dedication to innovation and its deal with offering probably the most power and resource-efficient Low-Power Wide-Area Network (LPWAN) options for the Logistics & Provide Chain trade.

The excessive success fee is phenomenal on condition that the Wifi geolocation success fee within the trade usually falls beneath 70 p.c in some areas, posing a big problem for large-scale asset monitoring tasks. This enhanced service can be progressively rolled out throughout all 70 territories the place the 0G Community is at present out there, beginning at the moment within the second half of 2024.

The most recent product improve instantly responds to buyer suggestions and trade ache factors, driving the UnaBiz R&D group to push the boundaries of WiFi geolocation expertise. Historically, it’s difficult and expensive for geolocation suppliers to scan all WiFi Entry Factors.

By harnessing the ability of Synthetic Intelligence (AI) and activating the built-in Machine Studying (ML) module, UnaBiz has developed a revolutionary improve: Entry Level Machine Studying, enhancing the capabilities of its Atlas WiFi geolocation system.

Key Advantages to Clients

Unabiz Sigfox Atlas has varied advantages:

Enhanced Geolocation Success Charge: An improved success fee permits prospects to realize much more correct and exact geolocation positioning of their belongings with out extra assets or new infrastructure deployment.

Value Effectivity: As an alternative of switching to higher-cost {hardware} alternate options like GPS trackers, which entail important bills, prospects can proceed to depend on their current {hardware} gadgets to take pleasure in this extra exact AI-enhanced WiFi-based monitoring resolution.

KYOCERA Communication Methods Co., Ltd. (KCCS) was among the many first to check the brand new AI-enhanced service in Japan. Naoki Kawai, Division Supervisor, Wi-fi Options Division at KCCS, mentioned, “Because the adoption of the AI-enhanced Sigfox Atlas Wifi ML service, our geolocation success fee has elevated from 62 p.c to 92 p.c. We’re excited to advertise this new service to our prospects and look ahead to persevering with our strategic partnership with UnaBiz in Japan’s Logistics and Provide Chain sector and past.”

Alexis Susset, CTO of UnaBiz Group, said: “The widespread protection of Sigfox 0G Community allows GeoLocation Information community results which, mixed with AI-driven innovation, has enabled us to extend our positioning success charges to ranges past 90 p.c in all areas we now have examined. This distinctive functionality of our international operators ecosystem and our best-in-class Complete Value of Possession additional establishes UnaBiz Sigfox 0G Expertise because the de facto commonplace for energy-efficient, high-accuracy asset monitoring.”

Henri Bong, CEO of UnaBiz Group added, “UnaBiz stays devoted to the continual enchancment and innovation of the Sigfox 0G expertise whereas sustaining unparalleled service high quality. Pushed by the precept of “Much less is Extra”, this improve permits prospects to take pleasure in the advantages of a better geolocation success fee with out having to change to dearer, power and resource-intensive alternate options like GPS trackers. This strategy reduces operational prices and minimizes the environmental influence related to manufacturing and deploying new infrastructure, aligning with sustainable enterprise practices.”

Be taught extra about Sigfox Atlas.



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