Vision Surveyor is a toolset to detect and map multiple objects on transportation & mobility sector using AI deep learning means.

• Uses a flexible AI infrastructure for training models and improve results with user feedback.
• Allows rapid custom modeling to meet client needs by training & detecting specific customer objects.
• Performs automatic surveys with cameras mounted on vehicles or surveilance detection on fixed locations;

The existing models from Mobility and Smart Cities are the starting point for custom model development and surveying.

The complete toolset is composed by 4 main applications for model development, image capture, object detection and map visualization.

VSurvey is the core vision computing infrastructure, flexible for the development of multiple object detection models with geolocation tools..

VAnnotate is the tool for making image annotations and collect feedback from user.

VMap is a service platform for analysis and visualization of object detections, providing users with findings and insights of the camera recordings made.

VCam are the supported devices for image capturing, namely Cycam3, Object Detection App and GoPro.