Apply AI smarts to wildfire detection

As the weather gets hot and dry, things get a little bit tense these days. While it’s been possible for humans to be on the lookout for fires (there are even organizations that make it easy to volunteer to do so), one of the big challenge is that technology often comes up short; by the time tech detects a fire, it’s already well on its way to being out of control. Pano is combining some clever cameras with AI technology to give fire-containment crews a fighting chance to keep things as un-on-fire as they can be.

Pano AI offers a fully managed solution that combines advanced hardware, artificial intelligence and easy-to-use cloud-based software to provide fire agencies with actionable intelligence and up-to-the minute situational awareness. This helps first responders get to the scene faster and more safely — with the right equipment, latest information and enhanced coordination — so they can stop a new ignition in its tracks.

“The climate crisis is happening now, and humanity needs to start adapting today. At Pano AI, we’re working to pioneer the field of climate change adaptation so that we can help society cope with the increasing frequency and intensity of natural disasters. We’re the first company to offer a fully managed solution that delivers active wildfire detection using artificial intelligence,” said Sonia Kastner, CEO and founder of Pano AI, in an interview with TechCrunch. “This investment will accelerate the geographical breadth of Pano’s AI solution, enabling us to safeguard more communities from these climate-caused emergencies. We are grateful for the support of our investors at this critical time, as we face increasingly dangerous fire seasons around the world.”

Mots-clés : cybersécurité, sécurité informatique, protection des données, menaces cybernétiques, veille cyber, analyse de vulnérabilités, sécurité des réseaux, cyberattaques, conformité RGPD, NIS2, DORA, PCIDSS, DEVSECOPS, eSANTE, intelligence artificielle, IA en cybersécurité, apprentissage automatique, deep learning, algorithmes de sécurité, détection des anomalies, systèmes intelligents, automatisation de la sécurité, IA pour la prévention des cyberattaques.