AI object detection
The pilot tracks people on-device using an Intel GPU. Additional object classes depend on the model, camera view and deployment configuration.
Live video, recorded history and on-device intelligence in your own workspace. Start with the tools your team needs today, then build toward a connected video platform.

Start with person detection and direction-aware entrance counts. No facial recognition.
The pilot tracks people on-device using an Intel GPU. Additional object classes depend on the model, camera view and deployment configuration.
Define A → B zones for each entrance. View daily totals and validate direction with a real walk test.
Use activity patterns to improve shared spaces, without identifying faces or inferring clinical conditions.
An authenticated workspace with dynamically discovered cameras and low-latency streaming where network conditions allow.
Select a camera, date and time. Scrub a 24-hour timeline of available local recordings.
A planned offsite tier, separate from current local recording. Retention, stream quality and availability must be scoped for each rollout.
Local processing and recording, secure remote viewing, and an offsite tier on the roadmap.
Current pilot: local recording and remote access. Planned: offsite playback and expanded fleet management. An internet connection is required for remote viewing.
Business integrations should make review more useful without weakening the boundary around video. Define data access and deployment requirements before connecting systems.
Integrations roadmapAuthentication and an outbound tunnel are a starting point. Access roles, audit logging, retention and healthcare safeguards must be reviewed and validated for the deployment.
Start with your cameras, your priorities and a practical pilot. We’ll help you map the next step.