Add AIAvailabilityStatus and AIRecognitionConfig classes for AI model management

- Introduced `AIAvailabilityStatus` class to manage the availability status of AI models, including methods for setting status and logging messages.
- Added `AIRecognitionConfig` class to encapsulate configuration parameters for AI recognition, with a static method for creating instances from dictionaries.
- Implemented enums for AI availability states to enhance clarity and maintainability.
- Updated related Cython files to support the new classes and ensure proper type handling.

These changes aim to improve the structure and functionality of the AI model management system, facilitating better status tracking and configuration handling.

src/ai_config.pxd

@@ -0,0 +1,21 @@
+cdef class AIRecognitionConfig:
+
+    cdef public double frame_recognition_seconds
+    cdef public int frame_period_recognition
+    cdef public double probability_threshold
+
+    cdef public double tracking_distance_confidence
+    cdef public double tracking_probability_increase
+    cdef public double tracking_intersection_threshold
+
+    cdef public int big_image_tile_overlap_percent
+
+    cdef public list[str] paths
+    cdef public int model_batch_size
+
+    cdef public double altitude
+    cdef public double focal_length
+    cdef public double sensor_width
+
+    @staticmethod
+    cdef AIRecognitionConfig from_dict(dict data)