Overview Head up Video analytics practice leveraging a combination of computer vision, AI, and video analytics experience to augment our extensive camera network and software platform.
This role will research, evaluate, implement, and support best-of-breed video analytics solutions to integrate into our market-leading application to deliver cutting edge video AI and classification technology as a commercial service to our clients.
The Video Analytics Lead will work with our technology and software development teams to ensure we at the forefront of Video AI.
Responsibilities Analyse and optimize current usage of Video Analytics.
Make recommendations to both internal and external stakeholders on how video analytics should be implemented.
Become the computer vision subject matter expert in our business.
Perform competitive analysis and recommend improvements and enhancements.
Assist with optimisation of our platform for processing of video analytics.
Train and mentor operational staff on optimal configuration of video analytics.
Keep up to date with the latest trends in video analytics technology.
Brief development teams on integration to existing software platforms Source and recommend video analytics solutions for market vertical applications (retail, manufacturing, public safety, etc.)
Optimise existing analytics for peak performance and accuracy.
Work with the product and sales teams to ensure we develop viable commercial offerings.
Improve operational efficiency and effectiveness of video analytics at scale Qualifications Degree/ Diploma in Information Technology Experience with Video Analytics, computer vision, YOLO, OpenCV or other deep learning technologies Tertiary qualification in Machine Learning principles and implementation Skills & Experience A minimum 5 years experience in an IT role Experience with IP video management systems and video analytics Experience working with IP video surveillance cameras.
Knowledge of video analytics market, capabilities, and limitations Have strong interpersonal and communication skills with staff at various levels.
Creative, solution driven attitude Be willing to work in an agile environment where changes are frequent, and tech nologies evolve