ClairGeo-M Wireless Magnetic Vehicle Detectors are well-suited for integration with both the SCATS and SCOOT traffic management systems, providing essential traffic data required for their respective optimization processes.

TraffiClair is proud to announce that its ClairGeo-M Wireless Magnetic Vehicle Detectors have achieved an outstanding 99% traffic data accuracy. This high level of precision ensures that city planners and transportation authorities receive the most reliable and accurate traffic data available, revolutionizing traffic monitoring and management.

The primary sources of electromagnetic interference at the site of geomagnetic detector usage include urban public wireless Wi-Fi signals, 2G, 3G, and 4G wireless communication networks, GPS, and IoT devices. To counter these interference sources, ClairGeo-M employs the following four technical measures to achieve an optimal anti-interference solution:

Our double-layer sealing system, featuring a screw-less integration and ultrasonic welding, ensures impeccable waterproofing. Crafted from advanced materials, it offers reliable protection, simplified user experience, and robust durability, making it an ideal choice for applications requiring uncompromised waterproof assurance. In the event of prolonged water accumulation on the road after rain or snow and the water pressure applied by tires passing over the detector, the geomagnetic detector can still operate stably for a long time.

Onsite has successfully installed over 150,000 units of ClairGeo-M wireless magnetic vehicle detectors across various cities in China. In Xi'an, 1200 intersections are equipped with these sensors, providing traffic detection data and supporting various control systems like induction, overflow, and variable lane control. In Jinan, 700 intersections utilize these sensors for similar purposes, along with additional functions such as tunnel control, ramp control, and bus priority.

The ClairEye-i is an advanced HD traffic video detector, leveraging cutting-edge neural network processing technology to ensure dependable traffic monitoring even in intricate urban settings. With its sleek and compact design, it allows for effortless installation while maintaining energy efficiency by consuming less than 3 watts. ClairEye offers real-time insights into vehicle presence, traffic flow, occupancy, road user identification, and event detection, empowering cities to optimize traffic control efficiently and effectively.

In the realm of traffic management, the integration of advanced technology with simplicity is revolutionizing signal control systems. Our system, composed of AI Video Detectors and an AI Box, represents the pinnacle of minimalist design and functionality for signal optimization.

The response time of ClairLup loop detectors is less than 10ms, whereas similar products in the market typically have response times ranges from 24ms to 100ms. A response time of less than 10ms provides significant advantages in terms of accuracy, efficiency, safety, and the ability to support advanced traffic management and smart city applications. While a response time of 24ms to 100ms is adequate for many current needs, the faster response time is critical for high-precision, real-time applications and future-proofing traffic management systems.

In the client's project, there was a recurring issue of intermittent signal loss when high-chassis vehicles passed over the loops, resulting in multiple vehicle detections from a single vehicle. Upon switching to our product, we observed that the inductance variation from high-chassis vehicles was minimal, with some positions showing changes close to or below zero. Conventional detectors would inevitably experience signal loss in such scenarios. However, our algorithm effectively identifies this situation and ensures uninterrupted signal output.

At the client's project site, there was a recurring issue where the output signal would persist even after a vehicle had left, causing the detector to enter a locked state. After replacing the existing detectors with ClairLup detectors, we discovered that the inductance variation caused by certain vehicles, particularly heavy trucks, was significantly skewed.

The client's project site is near a railway with a complex surrounding power grid, making it difficult for various detector products to work reliably. By using our detectors and utilizing the waveform display function, we observed severe interference at the site. This interference causes two issues: 1) When there are no vehicles, the interference generates false vehicle presence signals; 2) After a vehicle leaves, the interference prevents the signal from ending, resulting in a continuous vehicle presence signal. By enabling the detector's interference filtering function, we can filter out the superimposed signals, reliably detecting vehicle entry and exit, perfectly meeting the client's application needs.

To avoid the interference between loops of closely installed detectors, other brand products will offer different frequency bands for selection. However, it is not a foolproof solution due to limitations in available frequencies, changing environmental conditions, added complexity, and regulatory constraints.