NEC lined up real-world trials of a technology mix it reckons could shake up the vehicle parking sector, advancing a self-professed mission to digitalise the sector.

The company is integrating a parking management system from UrbanChain with its own AI image recognition technology to assess the effectiveness in detecting when people leave their vehicle.

NEC explained this is an important safety step, reasoning the set-up could be used to provide alerts if people park and then fail to exit the vehicle in a timely manner, which it stated could indicate they have suffered a medical episode.

The company explained there is growing concern about such matters.

Trials of the combined system are scheduled to begin in car parks in the Fukuoka Prefecture of Japan next month to assess how effective the AI is at recognising the number of vehicle occupants and if they have left or not.

NEC stated the companies hope to devise a “next-generation” car parking service model which could improve “safety, security and convenience”.

The companies hope to work out how many cameras are required and the best installation points along with the overall impact on safety and security.

They are also exploring a payment model based on the time a vehicle enters a parking space instead of charging from the moment it enters the grounds.

Ultimately, the work could establish a means of analysing car park usage trends and control mechanical lifts used in multi-storey architectures.

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NTT Docomo Business partnered with Chilean state-owned copper mining company Codelco to assess the viability of remotely operating heavy machinery over high capacity, low latency communications architecture.

The pair plan to connect the El Teniente mine to a remote operations centre 1,500km away using an Innovative Optical and Wireless Network All Photonic Network (IOWN APN), which the technology company hopes will provide the means for remote operations and HD video monitoring at the site.  

For Codelco the test is part of an ambition to up safety and efficiency at its mines. It aims to move towards advanced monitoring and remote operations, partly to address working condition issues including easing a risk of mine collapses.

NTT noted the mining company was also struggling from a lack of access to skilled operators.  

Among the specific areas set to be assessed in the project are: the type of communication environment needed; evaluation of network configurations with a view to cutting down the number of operations centres required; and examining the use of IOWN APN more generally in the mining sector.

NTT noted it planned to use insights from this project to create new use cases for IOWN APN technology, which the company has been heavily pushing for industrial uses.  

“The company will explore the potential for further applications in the mining and energy sectors, as well as across other sectors where remote operations are required,” it added.

The project is part of a research programme commissioned by Japan’s Ministry of Internal Affairs and Communications.

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Tampa Electric Company (TECO) selected Ericsson and OneLayer to deploy, manage and secure its growing private LTE network, with Burns & McDonnell providing integration and engineering expertise.

Ericsson stated TECO is among the first investor-owned utilities in the US to deploy the private network technology for operational use.

The network uses the Swedish vendor’s kit and supports connectivity for operational devices across TECO’s delivery infrastructure. It will expand as more connected devices come online in the coming years.

OneLayer’s Bridge platform provides SIM lifecycle management and device onboarding. It also provides real time visibility into connected devices across TECO’s operational infrastructure.

Burns & McDonnell is responsible for aligning the deployment with existing systems and operational requirements.

Following the deployment, TECO’s operations teams will be able to onboard and provision cellular-connected devices through automated workflow, which Ericsson noted cuts down the manual effort needed to bring new assets onto the network.

Teams also gain visibility into devices behind cellular routers and customer premises equipment, which were previously difficult to monitor. The system allows the tracking of device status location, and connectivity in real time across distributed field sites.

TECO plans to deploy tens of thousands of devices over the next five years with several thousand targeted in the first phase.

Ericsson stated the approach gives TECO a private, high-reliability broadband platform. It supports grid protection, field workforce communications and sensor connectivity. It also provides a path to evolve to 5G as requirements grow.

Dana Jaber, head of mission critical networks at Ericsson Americas, stated the deployment sets a new benchmark “for how utilities can scale secure, high-reliability private cellular networks to support tens of thousands of devices and future 5G requirements”.

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Rakuten Mobile expanded the capabilities of its corporate generative AI service by incorporating Anthropic’s Claude model.

The Japanese operator is employing the model to boost the research and data analysis capabilities of Rakuten AI for Business, a shift it stated would help companies to make decisions.

Research capabilities cover collection and organisation of external information, a function Rakuten expects to help companies conduct market research, assess their competition and plan strategy.

The data analysis element involves assessing internal data to highlight trends and present the information in a comprehensible format. Rakuten expects the facility to help staff “without specialised data science backgrounds” with decision-making.

It explained the greater decision-making capability could hold benefits for departments including sales, planning and administration.

Anthropic’s model adds to existing OpenAI ChatGPT-5 functions available on Rakuten AI for Business covering meeting summaries, creating emails and project planning.

Rakuten emphasised its AI service is secure, with safeguards in place to prevent the technology accessing data without permission.

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Deutsche Telekom held its latest pilot of delivering mobile connectivity from base stations on unmanned aerial vehicles (UAVs), using two aircraft and direct satellite backhaul to deliver signals during a trail running event in the Czech Republic.

The pair of so-called flying base stations were used in alternating operation to provide uninterrupted coverage, with the satellite backhaul removing the need for an additional ground station on site.

Deutsche Telekom asserted the experiment, held in collaboration with its T-Mobile Czech Republic unit and drone company Primoco UAV, brought “resilient airborne mobile connectivity one step closer to practical application”.

During the test the UAVs flew at altitudes of 2-3 kilometres and provided coverage across 20 square kilometres. They used the same frequency bands as the Czech operator’sterrestrial network and provided data rates of up to 100 Mbit/s.

The test took place during the Behej lesy trail run, which is held in a protected area with limited standard mobile coverage. A compact portable tower supplied coverage at the start and finish with the drones covering the remainder of the route.

Deutsche Telekom noted around 1,900 runners remained reliably connected throughout the event with the successful handover between the two aircraft confirming “the technical feasibility of the concept”.

It added with seamless operation using alternating craft and satellite backhaul new “deployment scenarios with flying base stations for temporary mobile coverage” had opened up.

Examples include where “infrastructure is unavailable or damaged, or where additional capacity is needed at short notice” such as during wildfires or floods. This is alongside the large outdoor events, which have been the focus of trials of the technology so far.

In 2025 the three companies combined to demo a single unit providing coverage at a ski race in the Czech Republic.

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