LoRaWAN Parking Sensor

LoRaWAN Parking Sensor

The LoRaWAN Parking Sensor is a compact and maintenance-free parking detection solution designed for smart city and commercial applications. Measuring 145 x 30 mm and made from high-durability polyamide, this sensor integrates radar-based detection to identify vehicle presence in real time. With an IP67 protection class and powered by a 4.5V DC battery, it offers over 5 years of uninterrupted operation without maintenance, even in harsh outdoor conditions such as heavy rain or dust-prone environments.

Thanks to its radar technology, the sensor can detect vehicles accurately under all weather conditions—rain, snow, or fog. Its integration with LoRaWAN allows for long-range, low-power communication, making it ideal for large parking areas where reliable wireless transmission is essential. This efficient pairing of radar and LoRaWAN significantly reduces infrastructure costs while providing high-accuracy occupancy data. The device can be installed on the ground or embedded in the pavement, offering flexibility depending on the site layout.

The LoRaWAN Parking Sensor is widely used in urban parking lots, commercial shopping centers, airports, hospitals, and industrial zones. By delivering real-time data, it supports dynamic parking guidance systems, helps reduce congestion, and improves overall vehicle flow in densely populated zones. It also supports data analytics for peak-hour usage and long-term capacity planning, adding extra value to municipalities and property managers.

Tactical Supply Pakistan delivers this advanced parking management device as a low-maintenance and long-lasting solution. It ensures optimal parking space utilization, reduces labor-intensive monitoring, and enhances driver convenience through smarter traffic control systems, while supporting sustainability goals by minimizing unnecessary vehicle movement.

Can this sensor detect motorcycles or small vehicles?
Radar-based sensors are generally calibrated for standard vehicles. While detection of motorcycles is possible; accuracy may vary depending on size and positioning. Adjustments in sensitivity can improve detection in mixed-vehicle environments.