The present invention relates to a smoke detection device, especially to a cigarette smoke alarm device for non-smoking space.
Generally, indoor spaces are equipped with smoke detectors to provide a fire warning function, so as to extinguish fires and evacuate people early.
However, for some indoor spaces, conventional smoke detectors cannot detect general cigarette smoking events unless the indoor space is airtight and there are many people smoking together in the indoor space. This will cause troubles to the management of non-smoking spaces, especially for hotel operators. If the cigarette smoking events in the non-smoking rooms cannot be stopped immediately, the non-smoking rooms will be tainted with smoke smell and may be frequently rejected by non-smoking guests.
To solve the above-mentioned problems, a novel cigarette smoke alarm device is urgently needed.
One objective of the present invention is to provide a cigarette smoke alarm device for non-smoking space, which can automatically determine whether there is a cigarette smoking event in a non-smoking space according to a thermal image of the non-smoking space.
Another objective of the present invention is to provide a cigarette smoke alarm device for non-smoking space, which can automatically determine whether there is an electronic cigarette smoking event in a non-smoking space according to a thermal image of the non-smoking space.
To attain the aforementioned objectives, a cigarette smoke alarm device for non-smoking space is proposed, which includes:
In one embodiment, the control unit is a microprocessor.
In one embodiment, the communication interface is a network interface.
In one embodiment, the communication interface is a WiFi interface.
In one embodiment, the external device is a server.
In one embodiment, the smoking event is a cigarette smoking event.
In one embodiment, the smoking event is an electronic cigarette smoking event.
In one embodiment, the image processing circuit further includes a sound warning device, and the control unit is coupled to the sound warning device to drive the sound warning device to generate a warning sound when the detection result is positive.
In one embodiment, the smoke image evaluation operation includes an artificial intelligence module.
In one embodiment, the artificial intelligence module is a pre-trained neural network module.
To make it easier for our examiner to understand the objective of the invention, its structure, innovative features, and performance, we use preferred embodiments together with the accompanying drawings for the detailed description of the invention.
Please refer to
The thermal image sensing unit 110 includes an infrared sensing array 111 to sense a thermal image of a non-smoking space.
The image processing circuit 120 is coupled with the thermal image sensing unit 110 to receive the thermal image, and includes a control unit 121 and a memory 122, a communication interface 123 and a sound warning device 124. The control unit 121 is coupled with the memory 122, the communication interface 123 and the sound warning device 124, where the memory 122 is used to store the thermal image, and the control unit 121 is used to perform a smoke image evaluation operation on the thermal image to generate a detection result of a smoking event, and transmit a data signal representing the detection result to an external device 200 via the communication interface 123.
In addition, the control unit 121 can be a microprocessor; the communication interface 123 can be a network interface or a WiFi interface; and the external device 200 can be a server.
In addition, in the present invention, the smoking event may be a cigarette smoking event or an electronic cigarette smoking event.
In addition, the control unit 121 can drive the sound warning device 124 to generate a warning sound when the detection result is positive.
In addition, the smoke image evaluation operation may include an artificial intelligence module, and the artificial intelligence module may be a pre-trained neural network module. As both the cigarette smoke and the electronic cigarette smoke can be sensed by the infrared sensing array 111, the thermal images of a space having a smoking event can therefore be used to train the artificial intelligence module to build up an ability of identifying the smoke event by processing at least one sensed thermal image. Besides, as the shape of the smoke generated in a cigarette smoking event is different from the shape of the smoke generated in an electronic cigarette smoking event, the trained artificial intelligence module of the present invention can therefore effectively discriminate these two different kinds of smoking events.
As can be seen from the above description, the present invention can offer the following advantages:
While the invention has been described by way of example and in terms of preferred embodiments, it is to be understood that the invention is not limited thereto. On the contrary, it is intended to cover various modifications and similar arrangements and procedures, and the scope of the appended claims therefore should be accorded the broadest interpretation so as to encompass all such modifications and similar arrangements and procedures.
In summation of the above description, the present invention herein enhances the performance over the conventional structure and further complies with the patent application requirements and is submitted to the Patent and Trademark Office for review and granting of the commensurate patent rights.
Number | Date | Country | Kind |
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111204958 | May 2022 | TW | national |