This second episode of the podcast talks about “Managing the common lighting problems for outdoor AI and computer vision use cases.”
4 questions this podcast will answer:
01What are the four significant problems you will encounter while building computer vision applications for outdoor environments?
02How can you use tricks surrounding hardware and algorithms to mitigate the lighting problems?
03How to manage day and night time lighting problems for computer vision applications?
04What are the Different lighting problems you might face while building an outdoor-based computer vision application?
The real gains from computer vision and artificial intelligence basically come from outdoor use cases such as the smart city use cases, surveillance use cases, or digital signage use cases.
But unlike indoor environments where you can basically control the variables surrounding your use cases, be it lighting, temperature, etc., you cannot do the same for outdoor environments.
Hi am Alphonse, and in today’s episode in my podcast unraveling computer vision and edge AI for the real world, we will be talking about the different lighting problems you might face while building an outdoor-based computer vision application and what are the steps you can take to solve it.