Electrical Panel Maintenance Inspections

Fuse: Single-failure in parallel fuse arrays often goes undetected, triggering chain overload reactions (NA manufacturing statistics: 15% of electrical fires originate from fuse anomalies).

Terminal: Oxidation/loosening-induced contact resistance increases are stealth culprits of equipment downtime (EU Energy Association: 23% of industrial outages relate to terminal failures).

PCB Inspection

Defect detection:

Identifies >20 flaw types (opens, shorts, pinholes, residual copper) across multilayer boards. Traditional flying probe tests miss 30%+ micro-defects.

Efficiency bottlenecks:

• Manual microscopy yields >20% error rates for sub-0.2mm features, risking ocular strain.
• High-density PCB layer scans require >30min/board, disrupting production cycles.

Electrical Panel - Fuse Inspection

AI dual-mode detection: Combines image recognition and ΔT algorithms to pinpoint overloaded/degraded fuses via absolute temperature alerts and relative differential warnings.

Electrical Panel - Terminal Inspection

Micro-temperature sensing: Detects 0.5°C variations from poor contacts using resistance-heat modeling.

PCB Inspection

Pre-configured templates + AI calibration enable batch screening of components (ICs, resistors/capacitors) to identify shorts, cold joints, and overloads.

Advanced capabilities:

• 10-zone templates per PCB (e.g., power modules, signal areas).
• Differentiates normal/abnormal heating via copper-layer thermal conduction models.
• Setup efficiency: Reduces new PCB calibration from 30+ minutes to ≤5 minutes through template reuse.

1. Automation: Auto-locates fuses/terminals in panels; PCB batch screening via predefined templates.
2. Simplified Workflow: Panel inspection: Reduces to 2 steps (mode selection → scan) with instant results (color-coded alerts). PCB testing: Fixture-mounted one-click scans minimize human error.
3. Reduces operational complexity for technicians while enhancing inspection safety and result reliability. Mitigates downtime risks and optimizes equipment lifecycle management efficiency.