In 2019's #Tech4Wildlife Photo Challenge, the growing importance of AI tools became clear as community members began to share more photos and videos of early AI-powered data analysis tools capable of finding wildlife in camera traps - a technology that continues to evolve rapidly!

With every passing year, the #Tech4Wildlife Photo Challenge captures insights from our community on what technologies are transforming the way we work, and the rise of machine learning within our photo challenges is a remarkable real-time demonstration of how quickly new tech can become integral to the way we collect, analyze, and share data.



Dr. Claire Burke’s thermal cameras and drones were integrated with AI to monitor and protect critical species like rhinos from threats like poaching, a great demonstration of how several tech tools can work together for greater impact.
Meanwhile, and unsurprisingly for a photo-based event, we also continued to see camera traps shine in our fourth annual photo challenge, including Alvaro García’s entries of camera traps deployed and shared with local communities.


And from the biologging community, we saw Equilibrio Azul’s acoustic tracking tools uncover data about the mysterious lives of baby sea turtles, and Roland Kay getting help from an exceptional at-home GPS tracking assistant: a pet cat!



Check back all this week for more highlights from past #Tech4Wildlife Photo Challenges. Read the full announcement here to find out how you can participate this year:

Join the #Tech4Wildlife Photo Challenge: Starting next week! | WILDLABS
Join our annual #Tech4Wildlife Photo Challenge from July 24-28 to share your best photos and videos with conservation tech users, makers, and supporters from around the world.
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