Minimise human errors and hazardous situations.
Endure the harshest conditions with TÜV tested drones.
Transfer inspection data into any digital asset management system for in depth analysis.
Take advantage of artificial intelligence with onboard processing and IBM Watson’s IoT.
Locate erosions, cracks and general wear & tear with high resolution cameras
Detect unseen electrical malfunctions with Thermal and corona cameras.
Detect assembly errors and reach areas dangerous or difficult to access with 30x zoom cameras.
Quickly identify and prevent outages fromintruding vegetation that interferes with powerlines.
Automatically detect, track and label tower equipment and structures.
Use AI to determine where to focus inspection efforts.
When faults are detected along the tower, the data is instantly sent to repair technicians.
The location of the fault is geo-referenced so technicians can easily relocate it.
IBM IoT technology is linked to the flight computer and gathers data during flight.
Livestream your flight data via LTE for near real time results – or upload post flight.
Build and train custom classifiers to recognise your equipment and detect risks and defects.
AI-powered maintenance orders and inspection reports pushed to asset management software or directly to personnel.
Certified and proven to fly unaffected by a cell tower’s electromagnetic field and antennas.
The protective fuselage shields electrical components inside against heavy rain and dust to ensure reliable operations.
Implement drones into your workflow with assistance and legal advice from our knowledgable and experienced staff.
Receive extensive theoretical training, practical training and short refreshment lessons on flying the Altura Zenith.
Maintenance inspections, re-calibrations, software updates and assistance with operational matters.iv>
Customise the Altura system with sensors and accessories to meet your needs and the regional regulatory requirements.
GCS + HD link
1 Battery + charger
Tested aircraft system
Gimbal + Control cable
Rugged transport case