Support.
Installation and user guides for your HoxtonAi solutions.
From receiving your first sensor in the post, to understanding the Control Room and all your people count and occupancy information.
Sensor setup guide
- Powering & internet connection.
- Installation.
- Troubleshooting.
Control Room user guide
- Add sites & users.
- Setup monitors.
- Alerts & notifications.
Frequently asked questions
What is the Sensor Specification?
Dimensions - 22.9cm (l) x 7.1cm (d) x 4.1cm (h).
Mass - 0.26kg (without bracket) / 0.32kg (with bracket).
Network Connectivity - Wifi: 2.4 GHz and 5.0 GHz IEEE 802.11b/g/n/ac wireless.
Power:
- Either, Power over Ethernet (PoE): 37–57V DC, Class 2 device (802.3af PoE standard).
- Or, USB type C using a 5.1V 3.0A rated PSU
Operating Temperature - 0 - 40°C
Water & Dust resistance - N/A: For indoor use only
How do the Sensors work?
The HoxtonAi Sensor uses computer vision technology to monitor people entering or leaving a space.
The Sensors are placed above doorways and entrances where the onboard camera uploads video to the HoxtonAi Cloud for detection. All videos are automatically anonymised on the device before being uploaded. No personal information is ever gathered.
Sitting in the cloud is where our HoxtonAi algorithms get to work! Using artificial intelligence, the algorithms process the videos to then generate a count of 'Ins' and 'Outs' for the entrances being covered. This data is then reported to our informative dashboard in near real time for our clients to use. The dashboard can be viewed on any mobile, tablet or computer with internet connectivity.
If all entrances and exits are covered within a space, the sensors can be used to provide Live Occupancy of that space. Alerting can also be provided if the occupancy exceeds user defined thresholds.
How do the Sensors work?
HoxtonAi sensors use computer vision technology to monitor people entering or leaving a space.
The Sensors are placed above doorways and entrances where the onboard camera uploads video to the HoxtonAi Cloud for detection. All videos are automatically anonymised on the device before being uploaded. No personal information is ever gathered.
Sitting in the cloud is where our HoxtonAi algorithms get to work! Using artificial intelligence, the algorithms process the videos to then generate a count of 'Ins' and 'Outs' for the entrances being covered. This data is then reported to our informative dashboard in near real time for our clients to use. The dashboard can be viewed on any mobile, tablet or computer with internet connectivity.
If all entrances and exits are covered within a space, the sensors can be used to provide Live Occupancy of that space. Alerting can also be provided if the occupancy exceeds user defined thresholds.
What are the Network requirements?
The HoxtonAi Camera can connect via Wi-Fi or fixed ethernet connection to transmit data to the cloud. Minimum requirements are:
- 0.5Mbit/s - Upload
- 0.5Mbit/s - Download
Cameras require constant connectivity. Please ensure that you provide adequate network coverage for the Cameras when installing them.
For Wi-Fi connectivity the Cameras can operate on both 2.4Ghz and 5Ghz bands. For ethernet, please use cables that are rated Cat5e or higher.
Our Cameras make use of the following ports for operation:
- 443 TCP
- 123 UDP
- 53 UDP
Additionally, you should whitelist the following domains for the relevant ports above:
- *.balena-cloud.com
- *.amazonaws.com
- hoxton.cloud
- *.googleapis.com
- 8.8.8.8
- *.pool.ntp.org
Our Cameras make use of DHCP - we are looking at adding static IP functionality in the future.
If the network you would like to connect to has any of the following properties:
- Hidden SSID
- Splash page
- Company firewall
Please speak to a sales representative about the best way to proceed by emailing sales@hoxton.ai