(FWIW I'd be very skeptical of buying a product licenced per device rather than on the basis of a named user).
The problem will be differentiating between devices.
While browser finger printing can provide very impressive results these datasets are predominantly filled with desktop browsers - I suspect you would see a lot less variation between mobile browsers (when was the last time you installed a new font on your android / iphone).
创建允许设备的数据库，并使用 cookie 设置这些设备或跟踪用户的 IP 地址（不推荐，因为它会更改）。您可能还想研究 UNIX 时间戳以找出与此相关的时间操作。
make a database of allowed devices, and set those devices with a cookie or track the users ip address (not recommended since it changes). You might also want to look into UNIX timestamps for figuring out time operations related to this.
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（FWIW 我对购买按设备许可的产品而不是基于指定用户的产品持怀疑态度）。
问题在于设备之间的差异。
虽然浏览器指纹可以提供非常令人印象深刻的结果，但这些数据集主要由桌面浏览器填充 - 我怀疑您会看到移动浏览器之间的差异要小得多（您最后一次在 Android / iPhone 上安装新字体是什么时候）。
(FWIW I'd be very skeptical of buying a product licenced per device rather than on the basis of a named user).
The problem will be differentiating between devices.
While browser finger printing can provide very impressive results these datasets are predominantly filled with desktop browsers - I suspect you would see a lot less variation between mobile browsers (when was the last time you installed a new font on your android / iphone).
创建允许设备的数据库，并使用 cookie 设置这些设备或跟踪用户的 IP 地址（不推荐，因为它会更改）。您可能还想研究 UNIX 时间戳以找出与此相关的时间操作。
make a database of allowed devices, and set those devices with a cookie or track the users ip address (not recommended since it changes). You might also want to look into UNIX timestamps for figuring out time operations related to this.