ProdEye AI

Smart Productivity Camera System with Advanced AI Detection

Real-time Employee Behavior Analysis & Workplace Monitoring

Python MediaPipe OpenCV YOLO Face Recognition SQLAlchemy

Challenge: Smart Productivity Camera (AI)

In the future, large companies need to precisely monitor their employees' productivity. A security company wants to build a system that can determine whether a person is working effectively or not, solely by analyzing images and video.

Challenge Goals:

Real-time Analysis

Analyze employee behavior through live video or images

State Detection

Detect different states: productive work, idle time, movement

Analytics Dashboard

Display analytical data with productivity metrics

What We've Accomplished

Multi-Person Detection

Advanced YOLO-based system capable of detecting and tracking up to 8 people simultaneously with high accuracy pose estimation.

Authorized Users System

Sophisticated face recognition system with authorized user management, filtering capabilities, and comprehensive activity logging.

Danger Detection

Real-time detection of dangerous objects (knives, guns, cigarettes) with alert system and confidence scoring.

Activity Classification

Intelligent behavior analysis classifying activities into productive work, idle time, movement, and presence states.

Real-time Analytics

Comprehensive dashboard with live statistics, productivity metrics, and detailed activity reports with export capabilities.

Video Processing

Support for both live camera feeds and offline video processing with adjustable speed and progress tracking.

Technology Stack & Versions

Python 3.8+

Core programming language for AI processing

MediaPipe 0.10.7

Advanced pose estimation and landmark detection

OpenCV 4.8.1

Computer vision and image processing

YOLOv8 8.0.0

Real-time object detection and tracking

Face Recognition 1.3.0

High-accuracy facial recognition system

Flask 2.3.3

Web framework for API and dashboard

SQLAlchemy 2.0.0

Database ORM for activity logging

JavaScript ES6+

Frontend interactivity and real-time updates

Core Implementation Highlights

# Multi-Person Pose Detection
                        def process_with_mode_and_danger(self, frame, mode='single', max_persons=2):
                            """Real-time processing with danger detection"""
                            # YOLO object detection
                            base_result = self.process_with_mode(frame, mode, max_persons)

                            # Dangerous objects detection
                            dangerous_objects = self.danger_detector.detect_dangerous_objects(frame)

                            # Activity classification
                            activity_type = self.classify_activity(pose_landmarks)

                            return standardized_response
# Authorized User Activity Logging
                        def save_authorized_user_activity(self, user_id, user_name, 
                                                        person_id, activity_type):
                            """Advanced activity logging with SQLAlchemy"""
                            activity = AuthorizedUserActivity(
                                user_id=user_id,
                                user_name=user_name,
                                activity_type=activity_type,
                                activity_timestamp=datetime.now(),
                                pose_landmarks=json.dumps(landmarks_list),
                                danger_objects=json.dumps(danger_objects)
                            )
// Real-time Dashboard Updates
                        function updateDashboard(data) {
                            // Update person count
                            document.getElementById('personCount').textContent = data.persons_count;

                            // Update danger alerts
                            if (data.has_danger) {
                                showDangerAlert(data.dangerous_objects);
                            }

                            // Update activity charts
                            updateActivityChart(data.activity_summary);
                        }
                    
-- Advanced Activity Analytics
                                SELECT user_name, activity_type,
                                       COUNT(*) as activity_count,
                                       AVG(face_confidence) as avg_confidence,
                                       COUNT(DISTINCT DATE(activity_timestamp)) as active_days
                                FROM authorized_user_activities 
                                WHERE activity_timestamp >= datetime('now', '-7 days')
                                GROUP BY user_name, activity_type
                                ORDER BY activity_count DESC;
                           
                     

Project Statistics

4396
Lines of Python Code
6601
Lines of Frontend Code
8
Max Simultaneous Detection
30+
Activity Types Detected
95%+
Face Recognition Accuracy
Real-time
Processing Speed

Project Advantages

High Performance

Optimized real-time processing capable of handling multiple video streams simultaneously with minimal latency.

Enterprise Security

Advanced authorized user system with face recognition, activity logging, and comprehensive audit trails.

AI-Powered Insights

Intelligent behavior analysis using state-of-the-art pose estimation and activity classification algorithms.

Comprehensive Analytics

Detailed productivity metrics, activity breakdowns, and exportable reports for management insights.

Safety Monitoring

Real-time dangerous object detection with immediate alerts and automated response capabilities.

Flexible Configuration

Highly configurable system supporting various processing modes, detection thresholds, and custom workflows.

Robust Data Management

Advanced SQLAlchemy-based database with optimized queries, indexing, and data integrity features.

Responsive Interface

Modern, responsive web interface compatible with desktop, tablet, and mobile devices.

System Capabilities Demo

Our system demonstrates advanced AI capabilities in workplace monitoring and productivity analysis.

Multi-Person Tracking

Real-time detection and tracking of up to 8 individuals with pose estimation and activity classification.

Productivity Analytics

Comprehensive dashboard showing productivity percentages, activity breakdowns, and time tracking.

Security Monitoring

Advanced authorized user management with face recognition and dangerous object detection capabilities.

Screenshots and demo videos can be added here to showcase the actual system interface and functionality.

Ready to Transform Workplace Monitoring?

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