PPE Detection
What is PPE Detection?
PPE Detection technology with deep learning algorithm can detect and capture images of personal protective equipment in the site and can trigger alarms accordingly. Nine attributes that can be detected include hats, work wear, mask, etc. The value is to reduce the input of safety management personnel and improve employee safety at work.
Specification
InKnow Controller Module
- 1GHz single-core CPU
- 512MB RAM
- Power Supply : 9-36 VDC
- Message Type: LINE Application
- Config: On Web
AI Camera Sensor
- 12-MP 1/1.7" CMOS image sensor, low luminance, and high definition image.
- Outputs max. 12 MP (4000 × 3000)@25/30 fps.
- Built-in IR LED, and the max. illumination distance is 60 m.
- ROI, SMART H.264+/H.265+, flexible coding, applicable to various bandwidth and storage environments.
- Two intelligent functions can be enabled at the same time, such as face recognition+people counting, face detection+people counting and PPE Detection+IVS.
- With deep learning algorithm, it supports: face recognition, face detection, IVS, people counting, video metadata, PPE Detection, parking space management and ANPR, etc.
- Alarm: 3 in, 2 out; audio: 1 in, 1 out; RS-485, BNC; supports max. 512 G Micro SD card.
- 12 VDC/24 VAC/PoE+/ePoE power supply, 12 VDC power output, max. current 165 mA and peak current is 700 mA, easy for installation.
- IP67 and IK10 protection, Anti-Corrosion coating (optional).
Application
