8nap Picture AI – Computer Vision Models

8nap Picture AI from Zimetrics delivers domain-enriched, lightweight, and edge-ready computer vision models tailored for critical inspection and classification needs across industries like Defence, Healthcare, Manufacturing, and Transportation. With support for complex image classification, anomaly detection, and multi-model fusion, the solution helps enterprises automate visual inspection, enhance safety, and reduce operational risks. Optimized for performance under varied environmental conditions and production realities, it accelerates AI adoption with minimal training data and ensures deployment flexibility on cloud or on edge. 8nap Picture AI use cases are as follows:

• Visual search and Image classification
• Multiple object detection, track movement
• Image segmentation
• Anomaly detection

Features:

• Multi-Model Backbone Fusion Integrates multiple deep learning architectures to improve detection accuracy across varied image types and edge scenarios.

• Domain-Enriched Synthetic Data Generates realistic, labelled synthetic images tailored to domain-specific edge cases and rare defect conditions.

• AutoML-Driven Fine-Tuning Engine Automatically refines models using feedback loops and minimal labelled data to adapt to evolving production environments.

• Monitoring, Alerting & Workflow Integration Enables real-time model monitoring, performance alerts, and seamless integration with enterprise workflows and dashboards.

• Knowledge Retention & Reusability Ensures models retain learned behaviors for quicker redeployment and efficient scaling across similar tasks or lines.

• GenAI & LLM Integrations Connects to large language models for explainable AI outputs and intelligent decision support in inspection pipelines.

Key Implementation Details:

1. Model Training:Sage Maker is leveraged to train custom models. Synthetic image generator is leveraged if training data is limited.

2. Storage: Amazon S3 and Amazon EFS are used for storing documents and shared microservice data. Secrets are securely managed using AWS Secrets Manager, and all data is encrypted at rest and in transit using AWS KMS.

3. API & Network Infrastructure: Amazon Route 53 with ACM serves as the unified entry point for microservices via Amazon API Gateway. An internal Application Load Balancer is exposed using API Gateway and VPC Link.

4. Authentication & Access Control: Amazon Cognito provides user authentication and authorization across services.

5. Monitoring & Logging: Operational visibility is achieved using Amazon CloudWatch, AWS CloudTrail, and Amazon Opensearch.