Inakalum
Bronze Sponsor
Information
We do Mobile Coverage Surveys and Street Asset Surveys. Our mobile coverage surveys measure Signal Strength (dBm) and Capacity (upload/download speeds in Mbps) and show the results on side-by-side maps for all MNOs. By showing signal strength and capacity side-by-side, we can quickly find areas that have poor or no coverage, or areas with a strong signal but poor upload/download speeds because of congestion, network traffic, etc.
Our street asset surveys can log up to 10,000 street assets per square kilometre, all photographed, geotagged and categorised. Our specialist 5G street asset surveys can help Mobile Network Operators solve coverage and capacity problems by identifying street assets suitable for hosting small cells (street lamp columns, bus shelters, CCTV poles, traffic lights) and also the telecoms surface boxes near the assets where fibre may be available to connect the cells to the network.
Our individual high-resolution images of street assets allow us to use machine learning (ML) to quickly add metadata to assets - for example, in Newcastle (UK) city centre, our ML module cycled through over 1000 street lamp column images in just 88 seconds to identify which of them had additional apparatus attached (hanging baskets, flags, telecoms equipment, CCTV cameras, IoT sensors, etc.).
Our street asset surveys can log up to 10,000 street assets per square kilometre, all photographed, geotagged and categorised. Our specialist 5G street asset surveys can help Mobile Network Operators solve coverage and capacity problems by identifying street assets suitable for hosting small cells (street lamp columns, bus shelters, CCTV poles, traffic lights) and also the telecoms surface boxes near the assets where fibre may be available to connect the cells to the network.
Our individual high-resolution images of street assets allow us to use machine learning (ML) to quickly add metadata to assets - for example, in Newcastle (UK) city centre, our ML module cycled through over 1000 street lamp column images in just 88 seconds to identify which of them had additional apparatus attached (hanging baskets, flags, telecoms equipment, CCTV cameras, IoT sensors, etc.).