XiniX AI

XiniX AI – created in 2020 as a team competing in the XPRIZE Rainforest challenge – consists of professionals with combined expertise in aerospace, imaging technology, machine learning, embedded hardware and software systems, and mechatronic systems. We are building an autonomous system that is able to map the surroundings efficiently, identify plants and animal species and classify them. If the system is unable to classify the species, it will provide valuable data for human based identification thereby creating social awareness and general interest in the cause. We plan to minimize the impact of our field unit in the surroundings by prioritizing noninvasive technologies like 3D mapping or imaging. Our aim as a team is to create a low-cost, plug and play system that is scalable, modular and easy to use. Not only this will make it the go-to solution for citizens, governments, intergovernmental organizations, and conservation groups - working together to protect these invaluable but fragile ecosystems - but the frontend will also further develop their cause by creating social awareness. Additionally, such a solution is easily scalable to address other issues related to areas with limited access, whether it is for surveillance, reconnaissance or monitoring purposes.