Unveiling the Future Envisioned by Behavior Recognition AI.
Since its establishment in 2015, Asilla has been committed to the philosophy of a "Technology Driven Future," dedicating its efforts to the pursuit of AI technology.
By analyzing a multitude of behavioral data and advancing the frontiers of AI, we aim to support the prevention of incidents and accidents, and foster the creation of a comfortable living environment through the precise anticipation of human behavior.
THERE ARE THREE REASONS FOR THE HIGH AI ACCURACY OF ASILLA's PRODUCTS.
The technology provided by Asilla is "behavior recognition AI". Since the time when this technology was not yet common in Japan, we have been focusing on its potential, collecting data, and promoting research.
The key to improving AI accuracy is data. In the "AI for the Field" project, our research team closely collaborates with our product development team to effectively utilize the knowledge gained from product development. This allows us to enhance the accuracy of AI used in real-world applications on a daily basis.
In order to promote Asilla's philosophy of "Technology Driven Future," we are constantly working to improve the accuracy of our technology and investing resources in developing our own technology.
The future that Asilla is aiming for is the construction of value of space by preventing incidents and accidents through our AI innovation.
In addition to collecting and analyzing information such as
・personal behavior information
・personal attribute information
・personal psychological information
・environmental information
for each camera, this information is also shared among cameras (multi-camera tracking), leading to behavior prediction.
Asilla, which has its own behavior recognition AI technology, will establish the "Human Science AI Research Team" in 2023, focusing on human science.
By combining the two technologies of "AI technology" and "human science," we aim to take our proprietary behavior recognition AI to a new level.
HSAR LAUNCH FOUNDER
Engaged in research on person walk admissibility
Engaged in research on behavior analysis
Engaged in research on human trajectory analysis
Engaged in work related to branding and university collaboration
Engaged in research on behavior analysis
Engaged in research on behavior analysis
Engaged in research on human walker identification as a co-researcher at Tokyo Institute of Technology
Engaged in work related to computer vision algorithms