{'fraction_non_alphanumeric': 0.020479000347101702, 'fraction_numerical': 0.004165220409580007, 'mean_word_length': 5.579908675799087, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Procedures for FOD Detection System Performance Assessments: Electro-Optical FOD Detection System

INTRODUCTION As part of a comprehensive performance assessment of Foreign Object Debris (FOD) detection systems at civil airports, assessments of an electro-optical, intelligent vision system was conducted by the Center of Excellence for Airport Technology (CEAT). The performance assessments of FOD detection technologies were designed to provide a rich data resource that could assess the performance of both individual sensors and combined sensor systems. Targets included a variety of items, some with known detection characteristics, such as radar cross sectional area (RCS) for radar-based sensors and color and surface condition for electro-optical systems. Targets also had different shapes and sizes and were made of different materials to provide target characteristics that would challenge detection systems. Assessment campaigns were scheduled over a 12-month period with the intent of testing under varied weather conditions. The electro-optical FOD detection system that was the subject of this assessment was the iFerret™ FOD detection system developed by Stratech Systems, Ltd. The overall goals of testing any FOD sensor are: 1. calibrating the FOD detection system with items of known detection characteristics and confirm sensor operation for each test campaign, providing information on system reliability and robustness; 2. determining detection performance for FOD items with different hazard potentials, considering distance from the sensor and orientation to the sensor; 3. assessing system detection of FOD items placed randomly in blind testing, providing a test of the typical detection needs of airports. Electro-optical sensors operate in the visible spectrum using high resolution video cameras and advanced computer processing to detect FOD on airport surfaces. The iFerret™ system utilizes multiple sensors along the runway positioned at roughly 1000 ft (300 m) intervals. The sensor consists of an image capture system that utilizes high quality optics with zoom capabilities that are networked to a processing system and system control console. There are nearly limitless possibilities of sizes, shapes and materials that can comprise FOD, and each one of these properties constitute a crucial variable that can influence detection. For vision-based systems, critical variables include lighting and contrast of the target with backgrounds. The intelligent vision capabilities of the iFerret™ system support use under daylight, changing lighting conditions, and with very low levels of ambient lighting in the dark. Other factors, such as rainfall, can affect visibility and will influence sensor capabilities. In the performance assessment of the iFerret™ FOD detection system, test procedures were developed that considered: background color and …