Qualcomm Launches AI-Driven Insight Platform for Intelligent Video

 

AI-Enabled Video Intelligence for Security, Smart Cities, Retail and Industrial Operations
Enterprises increasingly rely on video for security, operations and compliance, yet most systems still treat footage as passive archives. Qualcomm Insight introduces a unified, edge-first Video SaaS architecture that embeds AI directly into the video stack, converting raw footage into a continuously queryable intelligence layer. Its design supports verticals including enterprise security, smart cities, retail, logistics, critical infrastructure and industrial environments.

The platform integrates native AI across cameras, edge boxes and the control plane, avoiding the limitations of legacy VMS solutions that rely on bolt-on analytics. Qualcomm Insight processes video using vision models and Vision Language Models (VLMs), enabling structured, time-aware and behavior-aware queries without transmitting full video to the cloud.

Differentiation Through Native AI and Generative Intelligence
Unlike incumbents that stack AI add-ons atop traditional workflows, Qualcomm Insight treats AI as an intrinsic component of video understanding. With the integration of high-performance neural detectors and VLM-driven semantic interpretation, the platform supports precise, profile-linked searches across people, objects, locations and timelines. This enables advanced investigations and context-aware monitoring far beyond traditional attribute filtering.

The acquisition of Augentix further expands hardware options, adding low-power ISP and multimedia SoCs optimized for smart cameras. This supports a broad portfolio of cost-efficient and high-performance devices while maintaining unified control.

Merlin: Generative AI Agent for Profile-Aware Video Queries
Merlin, the built-in generative AI assistant, provides a human-language interface tightly linked to the video data model. It enables detailed queries such as identifying specific individuals across defined time windows or searching for profile-linked behaviors. Merlin also generates incident summaries and supports profile-based alerting to reduce irrelevant notifications.

Edge-First Architecture for Real-Time, Private and Scalable Inference
Qualcomm Insight processes AI inference at the device or local edge appliance, keeping raw video on-site while sending only metadata, events and requested clips upstream. Qualcomm’s heterogeneous compute—CPU, GPU, NPU and ISP—allows cameras and edge appliances to perform discriminative and generative tasks in real time.




Key architectural advantages include:

Brownfield and Greenfield Deployment Flexibility
Qualcomm Insight supports modernization at any stage:

Both deployment types operate under a unified control plane with consistent policies, analytics and query semantics.

Expanded Capabilities Through Augentix Integration
With Augentix’s low-power ISP and multimedia SoCs now part of the ecosystem, system designers can choose from a wider camera range—from low-cost devices to feature-rich AI cameras—without fragmenting software stacks or analytic workflows.

Multi-Vertical Reach and Future-Ready Architecture
Qualcomm Insight functions as a horizontal platform with vertical templates that evolve over time. Key applications include:

Because AI is native to the platform, models and behaviors can be updated continuously, supporting growing video volumes and increasingly complex operational requirements. Qualcomm continues to expand ecosystem partnerships and will introduce additional capabilities and integrations in the coming weeks.

www.qualcomm.com