Computer Vision Technology
Develop and deploy vision analytics algorithm and spatial sensing and/or reasoning systems
Type
Domain
Competency Area
Development and Implementation
Levels
Set-up and deploy video analytics algorithms and perform system performance evaluations
Identify the needs of vision systems technology in industrial applications
Apply the principles of processing, filtering and analysis methods for video data
Analyse global feature descriptions
Design and implement feature extraction and representation methods
Design and apply machine-learning based methods for object detection, object tracking and activity recognition
Design and apply video analytics algorithms for high-level video analytics tasks
Design the architecture of appplied vision systems
Design, develop and evaluate edge-based and cloud-based systems
Build spatial sensing and spatial reasoning systems
Evaluate and implement sensor data models and representation methods
Analyse local and global feature extraction and descriptions for 3D scenes
Design and implement scene scanning and mapping methods
Design and apply machine learning-based methods for 3D object and scene recognition
Analyse the representation of video data in spatial and temporal domain
Design prototypes with audio-visual sense making
Process, filter and analyse video data in real time using modelling and processing models
Analyse the object trajectory using classification and clustering methods
Perform object tracking and action recognition in video sequences in realtime
Analyse audio signal representation in spatial and frequency domain
Design and apply audio classification methods using machine learning techniques
Design real-time audio- visual sense making systems