XONIX
VISION ENGINEERING
APPLICATIONS
 UAVAutomated Turbine Inspection |  UAVAutomated/Manual Gathering |
|---|---|
 UAVBridge Inspections |  Facial RecognitionFacial Recognition with Tracking |
 TrafficVehicle (with model type) Classification |  UAVThermal Deadspot Analysis |
 UAV - Tracked ChassisRunway Inspection |  TrafficANPR with Tracking |
 UAV -Tripod - Tracked ChassisCreate 3D images for UAV guidance |
When integrated into a UAV, the xVS will autonomously control the mission from take-off to landing.
The xVS will recognise, classify and document, in real time wind turbine errors including
​
-- Assembly faults -- cracks -- impacts -- corrosion -- overheating
With the future pushing towards BVLOS implementations, having a system that can reliably control the drones behaviour is essential.
If the xVS is deployed in a fixed, static environment, the integrated optical solution can be used to obtain images that can be processed through the use of Digital Image Correlation, which is a highly accurate way of measuring the strain and deformation using measurements in the changes of images either in 2D or 3D
Our xVS system can be trained to recognise and classify most objects and thus allowing us to provide a bespoke implementation that will meet the exact customer requirements, for instance when analysing bridges for structural defects.
Facial recognition, object recognition and segmentation are just some of the capabilities of the xVS
The xVS can be trained to not only differentiate and provide classification between vehicles but can also provide make and color of the vehicle too.
Country specific Optical Character Recognition can be replaced with a multi-perceptron neural network which allows the xVS to recognise plates through ANPR in multiple locations
Runway Inspection can be provided by the xVS and can be trained to locate
-- Surface Irregularity -- Popouts --Spalling
-- Faulting -- Scaling -- Patching