vHive’s platform facilitates enterprises to digitize their assets by deploying autonomous drone hives and hosting the acquired data on the cloud. The company now has announced that it is enhancing its technology to accommodate automatic equipment identification installed on surveyed mobile towers by leveraging Artificial intelligence.
“After working with tower companies around the globe, vHive is in a position to create new, valuable insights from data that is gathered in tower inspection surveys”, said vHive CTO Tomer Daniel. “vHive’s AI enables us to rapidly scan through acquired data and identify objects of interest such as telecom equipment for the tower industry. vHive’s flight and data acquisition AI intelligently orchestrates a hive of drones, uniquely enabling our customers to acquire data from complex structures such as cell towers, bridges, buildings and more. We have now demonstrated a data analysis AI, that expands the scope of our offering.”
vHive caters to several industries that include –
- Telecom towers
“vHive strives to provide end to end value to its customers”, said vHive CEO Yariv Geller. “vHive intelligently enables enterprises to deploy off-the-shelf drones and automatically generate comprehensive data that was inaccessible before. We now provide the infrastructure for enterprises to extract targeted information of interest such as tower equipment inventory from the acquired data. Linking this data to inventory management systems enables enterprises to better account for installed equipment, eliminate inaccuracies and improve billing and operational efficiencies.”
Although this announcement is specific to the mobile industry, it will help operators to digitize business-critical infrastructure viz. mobile towers and gain intelligence on the same. The company will achieve this by capturing field data at lightning speeds and subsequently creating 2D, 3D, and even panoramic representations of mobile towers. Mobile network enterprises can leverage this data and analyze, share and visualize business assets to gain meaningful insights on maintenance, performance, and delivery capacity of the equipment.