(1) Select [AI On-site Learning Management] from the submenu. (2) Check the checkbox for the camera for which you want to configure this product. |
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(3) Select [The entire process is carried out in a camera-connected environment]. (4) Click [Display]. - [AI On-site Learning Settings] is displayed on a separate screen. |
(5) Follow the guidance to make basic settings for the product - Each item has a symbol. Click this symbol to display the procedure in the lower left corner of the screen. |
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・ [Adding a new detection object] - Adds a new Detection Object. - The object name can be set in [Set Name]. ・ [Improving false detection] - Prevents false detection of humans, vehicles, or two-wheeled vehicles. - The target for improvements can be selected from [human], [vehicle] and [bicycle]. ・ [Improving missed detection] - Reduces missed detection of humans, vehicles, or two-wheeled vehicles. - The target for improvements can be selected from [human], [vehicle] and [bicycle]. |
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1. Select [Saving learning images]. - Select [Manually save camera image]. |
2. Click the save button. - One still image is shot. |
1. Select [Saving learning images]. - Select [Auto save camera image]. |
2. Set the [Image saving interval]. - Select from [10 s], [20 s], [30 s], [40 s], [50 s], [1min], [5min], [10min], [15min], [30min], [60min], and [When nothing detected]. - When [When nothing detected] is selected, only images that could not be detected are efficiently saved. |
3. Select [Number of save images] - Select from [10], [20],..., [90], [100], [150], and [200]. |
4. Click [Start] - To stop auto saving, click [Stop]. - During auto save, the progress is displayed beside the [Stop]. |
1. Select [Saving the learning image]. - Select [Upload images from PC]. |
2. Click [Browse]. - The Add File screen is displayed. |
3. Select the files you want to save as learning images, and then click [Open]. - Saving starts. - The progress is displayed while the file is being saved. |
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1. Click [Display] - [Perform Learning Screen] is displayed. |
2. Click the thumbnail of image you want to use to set the bounding box. - [Learning Frame Settings Screen] is displayed. |
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3. Select [Add Bounding box] in [Mode] to draw a bounding box on the image. - You can set the learning frame as a rectangle by dragging it on the image. - Select [Edit Bounding box] in [Mode] and click the drawn bounding box to change the size and position of the bounding box or to delete it by clicking the × icon. - Clicking the Icons for the detection results (gray frames) of human/vehicle/bicycle will set the selected detection object to the bounding box. |
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4. Press [Next] to set the bounding box for the remaining images. - The setting screen for the next image is displayed. |
5. When you have set all the learning images, click [Set]. - [Learning Frame Setting Screen] closes, and you sre returned to the [Perform Learning Screen]. |
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6. Select the image you want to use for learning - Select the check box at the bottom left of the thumbnails of the target images as shown. - Learning requires at least 10 images.You can learn up to 200 images. - The maximum number of bounding boxes that can be included in learning images are 1000. |
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7. Click the [Start Learning] to execute learning. - When learning is completed, the confirmation screen is displayed. |
・ Check the learning accuracy. - To check the image with live video, click [Display] on [Demo screen] to open the demonstration screen. See the following for information on the demonstration screen. →5. Demo Screen - To check images already shot, click [Display] on [Simulation screen] to open the simulation screen. See the following for more information on the simulation screen. →6. Simulation screen |