GRIDMINDINFRASTRUCTURE INTELLIGENCEINSIDE GRIDMIND / SYSTEM ARCHITECTURE
Computer vision finds objects. Visual language examines relationships. Structured checks turn supported evidence into an assessment a person can review.
Follow the dataGRIDMINDINSPECTION SYSTEMFollow the illustrated sequence as it enters view, or select a stage. Each stage passes evidence forward—not an unsupported conclusion.
Swipe the stages or tap to inspect
Python and OpenCV prepare an image or selected video frame. Its source reference stays with the inspection, so every later observation can be checked against the same original media.
Vision specialists, including YOLO-based detectors, localize people, vegetation, equipment, and visible defects. The bundle combines the original, a labeled overlay, and structured metadata. A bounding box locates an object; it does not prove a hazard.
Qwen-based visual interpretation examines the original image and detector evidence. It describes visible relationships, explains possible concerns, and records uncertainty. Exact clearance, depth, or energization cannot be inferred from a photograph alone.
Laya checks whether the visual interpretation agrees with detector findings and expresses typed decisions. RiskHive applies deterministic risk rules to supported evidence, while independent validation checks the assessment. A detected conflict is not silently discarded.
A complete report includes the source, supported concerns, reasons, uncertainty, and suggested next checks. Passing machine checks is not a guarantee of correctness. The desktop workspace supports review; the Android companion shares records and eligible risk alerts.
Retain the evidence, explanation, uncertainty, and proposed next check. “Machine-checked” describes the checks performed, not a safety certificate.
Return the conflicting claim and its evidence context to the visual model. Keep both attempts so the change remains inspectable.
Do not force agreement. Unresolved evidence conflicts go to review; Laya or policy errors require repair at that stage or human review.
The system combines learned perception with deterministic assessment and independent checks. This public overview explains the roles; private prompts, model weights, thresholds, and access details are not disclosed.
Illustrated flow and sample annotations—not live model output, operational telemetry, or measured performance.
Pipeline orchestrationCoordinates media processing, model calls, saved evidence, and report construction.
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Visual inferenceRuns the visual models that locate people, vegetation, and electrical equipment.
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Image & video processingReads media and prepares frames for inspection while preserving the source.
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Desktop interfacePresents source frames, object overlays, reports, and operator controls in the current desktop app.
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Android interfaceBuilds the native Android screens and handles the mobile interaction flow.
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Push deliveryFirebase Cloud Messaging carries risk notifications to registered Android devices.
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Public deliveryServes this responsive system website through Cloudflare Workers and static assets.
Technology documentation ↗Consistency & assessmentCheck structured interpretation against evidence, preserve conflicts, and apply deterministic risk rules.
GridMind system componentsTechnology marks identify system components, not endorsements. Logo artwork: Simple Icons.
Compare missed objects and false detections with labeled reference images. Good localization is a foundation, not proof that a complete assessment is correct.
Check agreement between descriptions, detector regions, and the original image. Track contradictions and unsupported claims, including how the recheck handles them.
Check whether a report explains its concern, retains uncertainty, points to the source, and supports a useful next action. Measure end-to-end latency alongside quality.
Image analysis supports inspection; it cannot establish exact electrical clearance, energization, or safe working conditions. Those questions require qualified verification and, where needed, field measurements.
GRIDMIND / INFRASTRUCTURE INTELLIGENCE
See how source media, findings, and reports come together in the current app.
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