Vision AI Blueprint to Automate Visual Workflows

Deploy intelligent visual systems powered by AI for object detection, activity monitoring, and quality inspection. Nexa’s Vision AI blueprint enables fast implementation across security, manufacturing, retail, and logistics

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Scalable Edge-to-Cloud Inference

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Built-In Compliance and Governance

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Pre-Trained Models for Visual Intelligence

How Nexa Empowers Vision AI

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Coordinate multiple Vision AI agents to handle tasks like detection, classification, and monitoring in a unified flow

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Allow agents to refine models with feedback, improving recognition accuracy and adaptability over time

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Build trust with governance, audit trails, and policy-driven controls embedded into every Vision AI deployment

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From manufacturing to healthcare, deploy scalable Vision AI agents that adapt quickly to sector-specific needs

Architecture Overview

Visual Input Interface Layer

Perception & Preprocessing Layer

Model Inference & Vision Intelligence Layer

Decision & Action Layer

Knowledge & Feedback Loop Layer

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Visual Input Interface Layer

Captures and processes inputs from diverse sources such as cameras, sensors, and image repositories. This layer supports streaming and batch data, enabling real-time detection, monitoring, and analysis across various environments — from industrial inspection to retail analytics

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Perception & Preprocessing Layer

Transforms raw visual data into usable formats. It performs essential tasks such as normalization, denoising, image segmentation, and metadata tagging. This layer ensures consistency and quality for downstream model inference and analytics

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Model Inference & Vision Intelligence Layer

Runs pre-trained or fine-tuned computer vision models for tasks like object detection, image classification, face recognition, anomaly detection, and scene understanding. It supports edge and cloud deployment, allowing for both low-latency and high-scale use cases

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Decision & Action Layer

Connects visual insights to business logic. This layer enables automated decisions — such as triggering alerts, updating dashboards, or initiating workflows — based on visual outcomes. It integrates with APIs, rules engines, and agent systems for operational impact

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Knowledge & Feedback Loop Layer

Feeds annotated results, user feedback, and system logs back into training pipelines. This layer supports continuous model improvement, bias mitigation, and performance monitoring. It leverages visual embeddings and feedback to enhance future recognition tasks

Core Components

Orchestrator

Agent Orchestrator

The orchestration layer coordinates intelligent visual workflows by assigning tasks to the right AI agents—whether for anomaly detection, event triggers, or real-time video summarization—ensuring timely and relevant system responses

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Prompt Router

Visual Prompt Router

Processes incoming visual data with contextual filters and routes it to the appropriate Vision AI pipeline. It supports adaptive filtering based on patterns, location, and behavior—enabling personalized and situationally aware outputs

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Monitoring

Edge Monitoring & Insights

Continuously tracks performance metrics of deployed Vision AI agents at the edge. This enables predictive maintenance, efficiency scoring, and automated improvement cycles—especially in real-time, mission-critical settings.


Constantly monitors edge-deployed Vision AI agents to assess performance. Supports predictive upkeep, operational scoring, and self-optimizing loops for high-stakes, real-time environments

Knowledge

Knowledge Graph + Search

Connects visual data streams with structured knowledge—like digital twins, manuals, or support content—to enrich insights. Agents can reference visual cues and retrieve real-time guidance, aiding decision-making and automation

API Development

Secure API Gateway

Enables secure communication between Vision AI modules and enterprise systems. It manages token-based access, rate-limiting, and encrypted data exchange to ensure governance, compliance, and resource control

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Nexa Vision AI - Compliance and Privacy Framework

Unified Access Across Devices

Access Anywhere with Agent

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Access visual insights securely from any device—desktop, mobile, or tablet

Intelligent Workflow Templates

Intelligent CV Templates

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Design adaptive templates for various computer vision tasks—from object detection to compliance monitoring

Encrypted Visual Data Storage

Safe, Compliant Cloud Storage

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Your visual data is protected with end-to-end encryption and stored on secure, compliant cloud infrastructure

Private Model Training

Train Custom Models Safely

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Train custom AI models using your proprietary datasets within a secured environment