Smart AI Surveillance for Shop Floors
The Personnel Behavior Monitoring System from Ningbo Autino Automation Equipment Co., Ltd. is an AI-powered vision solution for manufacturing shop floors. This product uses deep learning and machine vision to oversee work standards, safety compliance, 5S housekeeping, and attendance. It replaces manual patrols with non-contact, real-time monitoring. The system processes all recognition locally through edge computing. This keeps production data secure. Workers do not need to wear any devices. Normal operations continue without interruption. The product covers four key areas: SOP compliance, PPE and unsafe behavior detection, attendance tracking, and material/tool 5S supervision.
Real-Time Alerts and Violation Evidence
The personnel behavior monitoring system detects violations instantly. It recognizes missing gloves or goggles, loose hair, reaching into moving machinery, stacking obstacles in walkways, and smoking in restricted areas. It also identifies idle time, phone use, sleeping, and unauthorized post swaps. For material management, it spots mixed good/bad parts, tools left out, and overfilled bins. When a violation occurs, the system triggers a flashing light and buzzer at the workstation. It captures a photo and a short video clip. All evidence stores locally on a hard drive for later review. The product maintains a complete audit trail.
Centralized Management and Factory Integration
The personnel behavior monitoring system supports networking across multiple workstations. Supervisors view live feeds, violation counts, and trend reports from a central dashboard. The system generates daily, weekly, and monthly reports in Excel format. It connects directly to MES, shop floor displays, and plant security platforms. Violation and attendance data upload automatically. The system stores multiple algorithm templates for different processes like injection molding, welding, assembly, and painting. One click switches the product to a new production area. It works reliably in dusty, low-light, and night-shift conditions. The equipment is durable and requires minimal maintenance.
Technical Specifications
|
Parameter |
Specification |
|
Core Technology |
Deep learning machine vision, edge computing |
|
Detection Scope |
SOP compliance, PPE, unsafe acts, attendance, 5S |
|
Alarm Method |
Light + buzzer at workstation |
|
Evidence Storage |
Photo + short video, local hard drive |
|
Networking |
LAN, supports multiple workstations |
|
Reports |
Daily/weekly/monthly, Excel export |
|
Integration |
MES, shop floor displays, security platform |
|
Environment |
Dusty, low-light, night-shift optimized |
|
Installation |
Wall-mount or overhead |
|
Operation |
7×24 continuous |
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