Fabrick Lens by xlogix on AWS by Clearscale

Quick-service kitchens exceed human monitoring capacity, with hundreds of daily orders and numerous quality checkpoints. Fabrick Lens replaces intermittent audits with automated, persistent machine oversight to eliminate visibility gaps.

How the System Works Built on AWS, this modular solution uses industrial cameras and local edge appliances to run computer vision models on-site. This architecture maintains inference latency under 300ms without cloud round-trips.

The proprietary Signal Fusion Core integrates video analytics with equipment telemetry, such as weight sensors and KDS states, to differentiate malfunctions from human errors. Real-time alerts enable operators to correct order drifts before customer handoff.

AWS Services & Architecture Integration Fabrick Lens is built to seamlessly integrate with your existing AWS cloud footprint. While real-time inference is completed on-premise for speed and privacy, the platform leverages AWS-native managed services for central operations:

• Fleet Management: Uses AWS IoT Core and Systems Manager (SSM) for secure, scalable edge appliance automation.
• Data & Analytics: Streams via Kinesis and EventBridge; archives audit trails in S3 and Timestream.
• Reporting: Delivers metrics through AppSync and CloudFront to your BI dashboards.

Following a successful proof of value and rollout, Clearscale Managed Services provides 12-36 months continuous maintenance, edge health monitoring, model drift remediation, and technical support as operations evolve.

Key Activities

• Discovery & Architecture (Weeks 0-1): Camera audits, station prioritization, telemetry mapping, and AWS architectural reviews.
• Project-Managed Installation & Calibration (Weeks 2-6): Hardware deployment, edge provisioning, and signal integration with kitchen systems.
• Model Engineering: Data capture, frame annotation, and custom model fine-tuning.
• Hardening & Tuning (Weeks 7-14): Rule engine validation, alert configuration, and UAT.
• Onboarding & Support (Weeks 15+): Multi-store rollout and transition to Clearscale Managed Services.

Deliverables

• Fully provisioned, custom-installed hardware kit per store (Industrial vision cameras, local edge appliance, line sensors).
• Active, calibrated Signal Fusion Core software layer integrating KDS, POS, and equipment telemetry streams.
• Your first proprietary Signature Custom Model (e.g., real-time Count Verification or Build Sequence Compliance) completely trained on your menu and securely deployed inside your private AWS account.
• Comprehensive Real-Time Intervention UI incorporating automated in-station visual alerts and auditory pass-chimes.
• A Clearscale Implementation & Architecture Blueprint detailing project-managed milestones, AWS configurations, and system-wide integration pathways.
• Direct access to the multi-audience Reporting Layer APIs delivering store-by-store performance trends across 6 core KPI categories.
• Managed Services SLA & Governance Package establishing parameters for ongoing 24/7 edge health monitoring, security patch management, and support protocols.