
The Challenges
- Searching large spacesAcross large campus spaces and densely populated areas — be it a university or health-care campus — it is often challenging to identify relevant parties or objects when incidents occur.
- Big camera networksWith many cameras both inside and outside campus buildings, having a reliable camera network system to cover all parts of campus is essential for personal safety. Oftentimes, these big camera networks are costly and hard to manage.
- Reduced time and staff for rapid searchWhen incidents occur on campus, finding persons of interest in a short amount of time is critical. However, for a small staff team to cover large areas of both open-space and buildings may present time-pressing challenges.
The Dragonfruit Approach
Smarter, Scalable, Secure

AI Fast Forward & Search
- With AI Fast Forward, detectives and other critical campus staff can save time reviewing video evidence, thereby accelerating the pace of investigations.
- Summaries squeeze hours of video into minutes using AI fast forward. A multitude of filters AI filters narrow down the view to only people, vehicles, etc.
- By using Video Search, Investigators can also quickly search across all campus locations to find objects of interest.

Investigations Management
- Investigators can easily create investigations to keep track of video data and evidence sets all in one place.
- Once an investigation is created, you can add specific ‘events’ to it as well as additional evidentiary data such as receipts and witness statements. To succinctly capture this data, Dragonfruit allows you to create an online report.
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Camera Monitoring
- With hundreds, or even thousands, of cameras to monitor, existing camera health monitoring solutions are often too pricey for a tight budget.
- Dragonfruit is a cost-efficient solution at only $2 per camera and provides an alerting mechanism for monitoring the health of IP video critical infrastructure, including cameras and NVRs.
- AI-aided fault identification, near-real-time alerting of detected issues, camera image snapshots, and on demand reports (per location, per device).
