Demonstrating some initial automation. Contact me at im pervium@hotmail.com for info on the parts.

Introducting EarthCam’s AI-powered recognition technology for identifying obstructions and performing quality control for premium time-lapse content. Using its newly-developed AI algorithms, EarthCam is currently able to process over half a million high-resolution images a day to detect if camera images are obscured by foreign objects, dirt, fog or have the presence of rain droplets on the lens. The smart software looks for 16 different components in an image, both desirable and unwanted features, and then creatively re-edits the video. Cost savings are immediately realized with instant access to presentation-ready time-lapses, free of expensive editing processes and production wait times. Clients will still enjoy hand-edited time-lapse videos at the end of their project and can now download entertaining AI-edited movies at any time on-demand. The unique videos come complete with music and on-screen graphics, to present informative updates to stakeholders and share social media-ready content for public outreach.

How can we use machine learning and predictive analytics in the classroom?

Simon Harper from Killara High School, NSW shares the journey his school has undertaken in AI to set students up for success in the future.