Jeppe Bundgaard
ce9913429f
- Implemented Redis caching for CVR lookups to improve performance and reduce API calls. - Introduced economic customer creation functionality with new `createCustomer` method and corresponding route. - Enhanced license plate recognition validation to handle plates shorter than 3 characters.
76 lines
3.2 KiB
PHP
76 lines
3.2 KiB
PHP
<?php
|
|
|
|
namespace routes;
|
|
|
|
use classes\authentication;
|
|
use classes\image_processor;
|
|
use classes\licenseplaterecognizer;
|
|
use classes\openai;
|
|
use classes\response;
|
|
use classes\router;
|
|
use classes\upload_store;
|
|
use Exception;
|
|
use objects\logs_o;
|
|
use traits\route_t;
|
|
|
|
class moduleScannerRoute
|
|
{
|
|
use route_t;
|
|
|
|
public function run(): void
|
|
{
|
|
global /** @var response $response */
|
|
$router, $response;
|
|
/** Modules > Scanner > License Plate Recognition > POST */
|
|
$this->post('/modules/scanner/lpr', function () {
|
|
global $response;
|
|
self::requireParameters(['base64_image']);
|
|
$base64_image = self::getParameter('base64_image');
|
|
//self::requirePermission('modules_scanner_lpr');
|
|
if (empty($base64_image)) {
|
|
$response->error('Base64 image is required.');}
|
|
$uploads = new upload_store();
|
|
$object_name = $uploads->storeTempImageFromBase64(
|
|
$base64_image
|
|
);
|
|
//echo $object_name;
|
|
//echo "License Plate Recognition result:\n";
|
|
// Uncomment the line below to use the actual license plate recognizer.
|
|
$lpr_result = (new licenseplaterecognizer())->licenseplaterecognizer($base64_image);
|
|
if ($lpr_result['success']) {
|
|
// Set the LICENSE_PLATE_NUMBER to uppercase and remove spaces.
|
|
$lpr_result['license_plate_number'] = strtoupper(str_replace(' ', '', $lpr_result['license_plate_number']));
|
|
// Make sure the scanned plate is more than 3 characters long.
|
|
$scannedPlateIsTooShort = strlen($lpr_result['license_plate_number']) <= 3;
|
|
// If the confidence is below 90%, consider it a failure.
|
|
if (isset($lpr_result['confidence']) && $lpr_result['confidence'] < 0.9 && !$scannedPlateIsTooShort) {
|
|
throw new Exception('License plate recognition confidence too low. Score: ' . $lpr_result['confidence'] . ' Plate: ' . $lpr_result['license_plate_number'] . ' Raw: ' . json_encode($lpr_result['raw_response']));
|
|
}
|
|
// Success
|
|
$response->success(['success' => true, 'license_plate_number' => $lpr_result['license_plate_number']]);
|
|
} else {
|
|
throw new Exception('License plate extraction failed.');
|
|
//$response->error($lpr_result['message'] ?? 'License plate recognition failed.', $lpr_result);
|
|
}
|
|
exit;
|
|
// For future use with OpenAI.
|
|
$openai = new openai();
|
|
$registration_numbers_debug = [
|
|
'EC21233',
|
|
'EC21234',
|
|
'EC21235',
|
|
];
|
|
$random_index = rand(0, count($registration_numbers_debug) - 1);
|
|
$object_name = $registration_numbers_debug[$random_index];
|
|
// Attempt to recognize the license plate number from the image.
|
|
|
|
//Debug: TODO: Remove this.
|
|
$response->success(['success' => true, 'license_plate_number' => $object_name]);
|
|
$response->success($openai->lpr($object_name));
|
|
},
|
|
[
|
|
'modules_scanner_lpr' => 'License Plate Recognition',
|
|
]
|
|
);
|
|
}
|
|
} |