
AI-powered physical security systems for modern enterprises, integrated into a single cloud platform.
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Verkada cameras store video data directly on the device for 30 to 365 days, with optional cloud backup. This on-device storage minimizes reliance on continuous cloud streaming, resulting in very low bandwidth usage, typically 20-50 Kbps per camera for continuous recording. The Enterprise Bandwidth Manager also allows administrators to set site-specific bandwidth limits for further control.
Verkada utilizes AI for several proactive security measures. It can generate AI-powered talk-down messages to deter intruders through horn speakers. For incidents, it can automatically track people and vehicles across multiple cameras, creating a timeline of events and mapping activity on floorplans, which aids in rapid incident investigation and evidence collection for law enforcement.
Yes, Verkada offers robust integration capabilities. It provides ready-to-use integrations for identity management systems like Okta and Microsoft Entra ID, supporting SSO, SCIM, SAML, and MFA for centralized user management. Additionally, it offers dozens of prebuilt software integrations for various business systems and open APIs for organizations to build custom integrations, syncing physical security data with their IT systems.
For retail, Verkada cameras provide AI-powered analytics that extend to operational optimization. They can track store foot traffic, queue lengths, and wait times, offering insights to improve store layouts, staffing, and marketing promotions. People heatmaps in warehouses can also reveal movement patterns to reduce congestion and improve operational flow.
Verkada emphasizes a 'plug-and-play' setup, which simplifies installation significantly compared to traditional systems. It eliminates the need for bulky NVRs or servers, as data is stored on the device and managed via the cloud. This design allows for rapid deployment and reduces the complexity and cost associated with hardware upgrades and maintenance.
Verkada's Helix engine integrates with Point-of-Sale (POS) or Order Management System (OMS) data, enabling exception-based reporting. This allows users to search transaction details and rapidly surface corresponding video evidence to investigate chargeback fraud, detect fraudulent returns, uncover 'sweethearting' (unauthorized discounts), or validate missing item claims.
Source: verkada.com