Its operational range is more than 1.2km, and 4 sensors under the typical tower height can achieve double coverage detection of the runway in 4F class airports. Various kinds of targets are accurately detected and classified by multi-dimensional machine learning techniques. It effectively prevents accidents caused by FODs, to improve airport safety.
First choice for airports in operation
Support for installation without closing the runway
Super long detecting range
Robust detection of small targets
Automatic recognition of pedestrians, vehicles, aircraft and animals
Auto-adaptive to background changes to reduce the false alarms rate
Super-long working distance
Its operational range is more than 1.2km, and 4 sensors under the typical tower height can achieve double coverage detection of the runway in 4F class airports.
Automatic runway edge detection
With automatic runway edge detection, it maximizes the coverage of the runway surface and reduces false alarms due to the grassy environment and stationary facilities.
| Maximum detection distance | ≥800m |
| Minimum detection target size | 1.5cm |
| Positioning accuracy | ≤1m |
| Detection period | ≤60s |
| Probability of detection | ≥99% |
| False alarm time | ≥8h |
| Detection azimuth angle | 0-180 |
| Weight | ≤150kg |
| Power requirements | 24VDC/Airport's prwer supply |
| Power consumption | ≤150W |
| Interfaces | Photoelectric composite cable |
MIMO Type Rotary Type Rail-mounted Type GNSS Edge Light Type Tower Type Mobile Type