Gap Wireless, a leading distributor of products and services for the mobile broadband and wireless markets, and inUAVi, an innovator in the drone radio frequency (RF) monitor and sensor market, announced today they have entered into a reseller agreement for distribution of inUAVi solutions in Canada and the U.S. Gap Wireless will stock and distribute […]
Gap Wireless, a leading distributor of products and services for the mobile broadband and wireless markets, and inUAVi, an innovator in the drone radio frequency (RF) monitor and sensor market, announced today they have entered into a reseller agreement for distribution of inUAVi solutions in Canada and the U.S.
Gap Wireless will stock and distribute inUAVi’s Network Quality Sensor for aerial measurements, a solution that uses sensors integrated with drones to help mobile network operators maintain peak performance for their customers.
“Gap Wireless is pleased to be named reseller for inUAVi solutions in North America,” said Glenn Poulos, Vice President and General Manager at Gap Wireless. “inUAVi’s unique solution is an asset to service providers striving to deliver highest quality mobile service to their customers.”
inUAVi’s Network Quality Sensor uses proprietary technology to replicate what customers are experiencing, identify transmission gaps and signal issues, and determine the cause so problems can be addressed. Data is collected and relayed in real time to the drone operator from an application integrated with the drone’s operating system, a vast improvement on previous solutions that relied on heavy ground-based instrumentation strapped onto a drone with no real-time data delivery.
“inUAVi continues to transform the way data is collected by drones, making it possible for real time adjustments to wireless networks based on more accurate measurements,” said Marc Bouvrette, President of inUAVi.
inUAVi’s autonomous system creates a visual representation of network performance in real-time, identifying dead spots, overlapping beams and competing physical channels to determine the root cause and source of signal issues. The system can also characterize antennas for proper alignment, often eliminating the need for inspection teams to climb towers.
The lightweight, highly-integrated and portable applications run on common iOS platforms, automating previously complex measurements. The proprietary radio modules process signals in commonly used WCDMA and LTE bands, providing spectrum data, channel power, and other key measurements that can be collected and relayed to ground stations in real time.
Gap Wireless, a leading distributor of products and services for the mobile broadband and wireless markets, and inUAVi, an innovator in the drone radio frequency (RF) monitor and sensor market, announced today they have entered into a reseller agreement for distribution of inUAVi solutions in Canada and the U.S.
Gap Wireless will stock and distribute inUAVi’s Network Quality Sensor for aerial measurements, a solution that uses sensors integrated with drones to help mobile network operators maintain peak performance for their customers.
“Gap Wireless is pleased to be named reseller for inUAVi solutions in North America,” said Glenn Poulos, Vice President and General Manager at Gap Wireless. “inUAVi’s unique solution is an asset to service providers striving to deliver highest quality mobile service to their customers.”
inUAVi’s Network Quality Sensor uses proprietary technology to replicate what customers are experiencing, identify transmission gaps and signal issues, and determine the cause so problems can be addressed. Data is collected and relayed in real time to the drone operator from an application integrated with the drone’s operating system, a vast improvement on previous solutions that relied on heavy ground-based instrumentation strapped onto a drone with no real-time data delivery.
“inUAVi continues to transform the way data is collected by drones, making it possible for real time adjustments to wireless networks based on more accurate measurements,” said Marc Bouvrette, President of inUAVi.
inUAVi’s autonomous system creates a visual representation of network performance in real-time, identifying dead spots, overlapping beams and competing physical channels to determine the root cause and source of signal issues. The system can also characterize antennas for proper alignment, often eliminating the need for inspection teams to climb towers.
The lightweight, highly-integrated and portable applications run on common iOS platforms, automating previously complex measurements. The proprietary radio modules process signals in commonly used WCDMA and LTE bands, providing spectrum data, channel power, and other key measurements that can be collected and relayed to ground stations in real time.
