This article will include links to relevant documentation/articles to get started with a new DNNCam or DNNNode.
Note: The information in this guide is intended for production devices and not developer devices.
Boulder AI devices require a variety of ports to be open to outbound traffic for the device's services to operate properly. This information can be found in the network requirements article linked below.
If the device must be configured to use a static IP, rather than DHCP, this can be configured using the Web UI Network page.
The article below is relevant to installation of a DNNCam using the Mast Arm Mount hardware that can be purchased from Boulder AI. If you do not have Mast Arm hardware, the information in the "Mounting Position and Orientation" section may be helpful when trying to determine the FOV of the device without the a video feed.
In outdoor applications, it is important that the Cable Gland on the rear connector is assembled properly to avoid water damage. The guide below can be referenced when assembling/installing with the cable gland.
As the DNNNode can run quite hot, it is suggested that it is mounted using standoffs. Some mounting specifications can be found in the article linked below.
Web UI Setup
Note: Web UI Users are not the same as Boulder AI Platform users. You cannot use your platform account to log in to the device UI unless configured using the 'Users' screen.
After physically installing a DNN-Device, it must be configured using the Web UI with a computer connected to the same local network as the device.
The Web UI setup guide linked below walks through accessing and using the Web UI to adjust lens/image settings, set up users, change network settings, and more.
The image settings guide below explains how each of the image settings affect the image that the DNNCam produces. This may be helpful when setting up for different lighting conditions.
If you would like there to be a live RTSP feed available from the DNNCam, this can be configured in the Web UI. Instructions to export an RTSP feed can be found in the RTSP guide.
The Web UI on the DNNNode can be used to connect the Node to the RTSP feed of a third-party IP camera. Currently, this doesn't integrate with the Boulder AI Platform, but this can be used to verify that the DNNNode can successfully connect to the target RTSP URL.
Boulder AI Platform
After going through the Web UI setup steps, the rest of the configuration process can be done remotely using the Boulder AI Platform
. In the platform, your devices will belong to a Workspace
that you should have access to (if not, please reach out to firstname.lastname@example.org
). The guide linked below explains how to add new users to your Workspace and what the various permission profiles will do.
To better differentiate devices in the Platform devices page (platform.boulderai.com/devices
), it is recommended that devices are renamed and the locations are set. The article linked below explains how this can be done.
The guide linked below goes through the full DNNNode configuration process to connect a Node to an existing IP camera's RTSP feed.
To begin collecting data, you must configure the sensors that the device will collect data on. The guide linked below explains how to configure virtual sensors for the data collection applications, such as TrafficCounter, using the Boulder AI Platform.
Once some data has been collected, the data can be viewed using the Metadata section of the platform. The article linked below explains how to use the Metadata Dashboard (Data Explorer) to view data collected by a DNNDevice.
Our API's can be used to get device status, as well as pull metadata. The API documentation can be found in the link below.