AI Monitorig Camera
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Current Monitoring System
With conventional monitoring systems, in order to recognize abnormalities such as accidents, crimes, and natural disasters in real time, it is necessary to monitor scenes continuously and recognize the abnormalities by someone.
In addition, even for monitoring systems that use AI, it is currently necessary to customize the detection model (such as detecting shoplifting at retail stores) according to the type of abnormality required by the installer, depending on the installation location.
Strength of the Patent of AI Monitoring System
- By using this patent, it is possible to build a system that contributes to the security of social infrastructure by installing it not only in fixed surveillance cameras but also in self-driving cars, drones, and robots.
- A high-precision, high-speed, and inexpensive monitoring system can be constructed by judging the scene from the camera image and detecting the abnormality using the optimum abnormality detection AI in each scene.
Near Future Monitoring System
With the generalization of autonomous cars, drones, etc., the versatile AI monitoring cameras mounted on moving objects will detect abnormalities such as accidents, crimes, and natural disasters at an early stage, and the loss of the society will be able to be reduced.
About the Patent of Our AI Monitoring System
- We made a Patent of “Monitoring Device and Monitoring Method”.
- This patent provides an ultimate monitoring system using AI.
- The monitoring camera using this patent can solve the problems of conventional monitoring cameras.
- It has three features that solve the problems of the conventional monitoring camera.
| Problems with conventional monitoring cameras | The Patent solves the problems of conventional monitoring cameras |
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It was necessary for observers to constantly monitor the images.
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That AI automatically determines the type of monitored target.
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Require customized settings for each installation location.
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It is possible to acquire abnormality judgment according to the monitoring target from the cloud.
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Certain abnormality only could be detected.
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It can constantly update the abnormality judgment model.
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