Update build process

lib/ml/detection-engine.ts

@@ -6,7 +6,7 @@ import { skuIdentificationService } from '../sku-identification';
 // Extend window interface for TensorFlow.js
 declare global {
   interface Window {
-    tf: any;
+    tf: unknown;
   }
 }
 
@@ -16,12 +16,13 @@ declare global {
 export class DetectionEngine {
   private workerManager: DetectionWorkerManager;
   private config: DetectionConfig;
-  private model: any = null; // TensorFlow.js model instance
+  private model: unknown = null; // TensorFlow.js model instance
   
   // Detection state
   private isRunning = false;
   private detectionMode: DetectionMode = 'hybrid';
   private frameSkipCounter = 0;
+  private detectionCount = 0;
   
   // Temporal filtering
   private detectionHistory: DetectionResult[] = [];
@@ -31,10 +32,7 @@ export class DetectionEngine {
   private metrics: DetectionMetrics = {
     fps: 0,
     inferenceTime: 0,
-    memoryUsage: 0,
-    detectionCount: 0,
-    falsePositiveRate: 0,
-    timestamp: Date.now()
+    memoryUsage: 0
   };
   
   // Event callbacks
@@ -133,8 +131,6 @@ export class DetectionEngine {
       
       // Update metrics
       this.metrics.inferenceTime = performance.now() - startTime;
-      this.metrics.detectionCount++;
-      this.metrics.timestamp = Date.now();
       
       console.log('✅ Trigger detection completed:', detection);
       
@@ -196,8 +192,8 @@ export class DetectionEngine {
     
     this.frameSkipCounter = 0;
     // Only log every 10th detection to reduce noise
-    if (this.metrics.detectionCount % 10 === 0) {
-      console.log(`🔄 Continuous detection running... (${this.metrics.detectionCount} inferences)`);
+    if (this.detectionCount % 10 === 0) {
+      console.log(`🔄 Continuous detection running... (${this.detectionCount} inferences)`);
     }
     
     try {
@@ -312,15 +308,13 @@ export class DetectionEngine {
    * Update performance metrics
    */
   private updateMetrics(inferenceTime: number): void {
+    this.detectionCount++;
     this.metrics = {
       fps: 0, // Placeholder, as PerformanceMonitor is removed
       inferenceTime: inferenceTime,
-      memoryUsage: this.getMemoryUsage(),
-      detectionCount: this.metrics.detectionCount + 1,
-      falsePositiveRate: this.calculateFalsePositiveRate(),
-      timestamp: Date.now()
+      memoryUsage: this.getMemoryUsage()
     };
-    
+
     if (this.onMetricsCallback) {
       this.onMetricsCallback(this.metrics);
     }
@@ -339,13 +333,6 @@ export class DetectionEngine {
     return 0;
   }
 
-  /**
-   * Calculate false positive rate (simplified)
-   */
-  private calculateFalsePositiveRate(): number {
-    // This would need more sophisticated tracking in a real implementation
-    return Math.max(0, Math.min(1, this.detectionHistory.length > 10 ? 0.1 : 0.05));
-  }
 
   /**
    * Set detection callback