MONITORING CAMERA AND LEARNING MODEL SETTING SUPPORT SYSTEM
A monitoring camera is equipped with artificial intelligence. The monitoring camera includes an imaging unit configured to capture an image of a monitoring area, an acquisition unit configured to acquire schedule information indicating a time range in which at least one learning model used for the artificial intelligence that detects an object is validated, a detection unit configured to detect the object from an image captured by the imaging unit based on the learning model, and a processor configured to generate and output an alarm indicating that the object is detected when the object is detected by the detection unit. The processor is configured to switch the learning model based on the schedule information.
1 . A monitoring camera equipped with artificial intelligence, the monitoring camera comprising:
an imaging unit configured to capture an image of a monitoring area;
an acquisition unit configured to acquire schedule information indicating a time range in which at least one learning model used for the artificial intelligence that detects an object is validated;
a detection unit configured to detect the object from an image captured by the imaging unit based on the learning model; and
a processor configured to generate and output an alarm indicating that the object is detected when the object is detected by the detection unit,
wherein the processor is configured to switch the learning model based on the schedule information.
2 . The monitoring camera according to claim 1 ,
wherein the schedule information is a schedule for validating a moving body detection learning model that detects a moving body serving as the object in a time range of nighttime, and validating a face authentication learning model that detects a face of a person serving as the object in a time range of daytime and determines whether the detected face of the person is the same as or similar to a face image of a person registered in advance.
3 . The monitoring camera according to claim 2 ,
wherein the schedule information is a schedule for validating the face authentication learning model and a suspicious behavior detection learning model that detects a behavior of a person serving as the object in the time range of daytime and determines whether or not the detected behavior of the person is a predetermined behavior registered in advance.
4 . The monitoring camera according to claim 1 ,
wherein the schedule information is a schedule for validating a moving body detection learning model that detects a moving body serving as the object in a time range of nighttime, and validating a suspicious behavior detection learning model that detects a behavior of a person serving as the object in a time range of daytime and determines whether or not the detected behavior of the person is a predetermined behavior registered in advance.
5 . The monitoring camera according to claim 4 ,
wherein the schedule information is a schedule for validating the suspicious behavior detection learning model and a face authentication learning model that detects a face of a person serving as the object in the time range of daytime and determines whether the detected face of the person is the same as or similar to a face image of a person registered in advance.
6 . A learning model setting support system comprising:
a terminal device configured to receive a user operation; and
at least one monitoring camera that is configured to communicate with the terminal device and to capture an image of a monitoring area, the at least one monitoring camera being equipped with artificial intelligence,
wherein the terminal device is configured to generate schedule information indicating information about a time range in which at least one learning model used for the artificial intelligence that detects an object is validated based on the user operation, and to transmit the schedule information to the monitoring camera, and
wherein the monitoring camera is configured to switch the learning model based on the schedule information, and to generate and output an alarm indicating that the object is detected when the object is detected.