Across 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.
With 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.
When 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 rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.
A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!
Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.
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.
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.
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).
Dragonfruit’s investigation workflow provides integrated end-to-end tools for searching video evidence, correlating it with other incident data, and securely sharing it with relevant stakeholders – all through an easy-to-use web-based interface.
Dragonfruit offers an all-inclusive solution that can monitor thousands of cameras across wide geographical areas and connected to disparate VMS systems.
Dragonfruit overlays on top of existing CCTV infrastructure, so there is no new hardware to buy or install. Also, the pay-as-you-go model can help transfer Capex to op-ex costs for easier budget approvals.