Startups joining SK Telecom’s accelerator include AI-driven mapping and vision for delivery robots

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We don’t often cover telecom technology startups, but it’s periodically worth checking in to see what’s happening in that space. We can get a good indication from the latest cohort to emerge from an accelerator associated with South Korea’s largest wireless carrier, SK Telecom.

This group of startups will join the Telecom Infra Project accelerator in South Korea, which is part of a global program of telecoms specialist centers, and run in partnership with SK Telecom.

The cohort includes a ship-berthing monitoring system; an app that turns a group of mobile phones into a TV studio; an AI-powered indoor positioning system, which creates interactive maps; a vision system for delivery robots; and one which allows remote audiences to experience live events “together” via a digital stadium.

The selected startups include:

Dabeeo: Dabeeo’s AI-powered indoor positioning system uses vision data produced through smartphone cameras to create interactive maps, used for gaming, marketing and logistics. Crunchbase  

Neubility: Neubility develops vision-based localization and path planning technologies for last-mile delivery robots. Crunchbase

Seadronix: Seadronix is a computer vision-based ship-parking-monitoring solution that provides an AI-based berthing-monitoring system. Crunchbase  

39 degrees C: This is a mobile multi-camera live-streaming app. It directly connects multiple smartphone feeds to each other using a technology called WiFi-Direct — turning them into a TV studio. Crunchbase

Kiswe: Kiswe is a supplier of entertainment broadcast technology. Its product, CloudCast, is a “Broadcast Studio in the Cloud,” which enables partners to send a digital feed into the cloud to produce live and non-live content. Its other product, Hangtime, allows remote audiences to experience live events “together” through creating a digital stadium with chat rooms, and provides control over viewing angles from within the platform. Crunchbase

Thanks to Source

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