ClairWav-T77
77GHz Traffic Control Radar
Overview
The ClairWav-T77 Series forward-facing multi-target traffic control radar is a high-performance, long-distance, front-mounted intelligent traffic detection device capable of detecting objects up to a maximum range of 300 meters. Its primary application scenarios include providing vehicle detection for traffic signal control systems, enabling signal sensing and control at large, medium, and small intersections, as well as conducting traffic flow surveys on highways and urban expressways. It can also connect with various intelligent traffic devices, allowing for a wider range of applications, such as smart parking and intelligent streetlight control. This product is characterized by its ability to track multiple targets, high detection accuracy, stable and reliable operation, easy installation and setup, and ease of maintenance.
Key Features
- Provides information about traffic flow, real-time speed/ average speed, presence, and queue length for 1-8 lanes within a range of 300 meters.
- Can simulate the real-time presence of vehicles using either single or double loops, with adjustable loop size and position through software.
- Easy installation and setup, compatible with existing road infrastructure, featuring a simple structure.
- Suitable for all weather conditions, including rain, fog, snow, strong winds, ice, and dust.
Offers protection against reverse power connection, voltage overload, surge protection, and lightning shielding for the equipment. - Provides an option for built-in Power over Ethernet (PoE) version, simplifying installation by combining power supply and data transmission through a single network cable.
- Output interfaces support RS485 or 10/100M adaptive network data output, making it compatible with various platforms.
- 11 watts low power consumption and the option for environmentally friendly solar power supply.
Technical Documents
ClairWav-T77 Datasheet
PDF file, 1.3M
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ClairWav-T77 User Manual
PDF file, 2.8M
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TraffiClair Product Catalogue V1.4
PDF file, 29M
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