Computer vision is an area of artificial intelligence (AI) that aims to give computers the ability to understand images and videos and extract information from them in a similar way to the human visual system. It is about analysing and interpreting visual data and making decisions or carrying out actions based on this.
Technologies behind computer vision
- Image processing: Transformation of images, e.g. filtering, edge detection, colour space analysis to filter out important features.
- Object recognition: Identification and localisation of objects in images or videos (e.g. faces, vehicles, animals).
- Image classification: Assignment of an image to a specific category (e.g. ‘cat’, ‘car’).
- Segmentation: Dividing an image into different regions, e.g. highlighting streets in a street scene.
- Motion detection: Analysing videos to detect movements or patterns (e.g. tracking pedestrians).
- 3D analysis: Reconstruction of 3D models from 2D images, e.g. for virtual reality or augmented reality.
Neural networks
Convolutional neural networks (CNNs) in particular are the basis for many advances in computer vision. They analyse images by breaking them down into smaller parts and extracting features.
Deep learning
Large data sets and powerful algorithms make it possible to train high-precision models.
Data sets
Systems are trained with large collections of images.
Computer Vision Business Use Cases
Smart Parking
Real Time Parking Availability
- Smart Parking Monitoring system uses advanced cameras and deep learning algorithms.
- Provides real-time information on parking space availability.
- Accurately detects vehicles and identifies free parking slots.
- Helps drivers locate and access available spaces efficiently, reducing time and effort.
Cost-effective Alternative to Sensors
- Smart Parking Monitoring system uses existing camera systems, unlike traditional sensor-based solutions.
- Eliminates the need for expensive infrastructure installations.
- Offers a more affordable option for parking management.
- Enables efficient parking monitoring with minimal upfront investment.
All-Weather Performance
- System performs effectively in various weather conditions.
- Advanced image processing and computer vision ensure accurate vehicle detection and parking space availability.
- Provides consistent performance in different environmental situations.
People Surveillance
Traffic Management
- Accurately counts the number of persons and analyses their directions.
- Provides valuable insights for traffic management.
- Assists in planning entry and exit routes.
- Helps manage hotspots in the city effectively.
Market Research
- Counts the number of people and analyses their directions.
- Provides insights into customer behaviour.
- Helps identify peak hours.
- Assists in optimizing staff levels and store locations.
Urban Planning
- Analysing pedestrian movement provides insights into flow patterns.
- Helps in designing and optimizing urban infrastructure.
- Improves sidewalks, pedestrian crossings, and public transportation stops.
- Enhances safety, accessibility, and overall urban mobility.
Swimmer Detection
Crowd Management
- Camera-based person detection system efficiently manages the number of individuals entering the pool.
- Helps prevent overcrowding and ensures a comfortable environment.
Data Driven Insights
- Provides data on pool occupancy and visitor trends.
- Allows accurate forecasting of crowd size.
- Helps visitors choose less crowded times for a better experience.
Staff Optimization
- Pool managers can optimize staff allocation using system insights.
- Predicts crowd levels for efficient operations.
- Enhances customer service through better staffing.
Peak Hour Management
- Identifies and analyzes busy periods to manage peak hours effectively.
- Allows implementation of strategies to reduce wait times.
- Enhances visitor satisfaction through better management of peak times.
Water Level & Flood Detection
Water level measurement, & Smart Water Leakage Detection
- Monitoring of water levels of rivers and other gauges
- Automatic detection of critical conditions with rapid prevention/protection measures leading to higher response speeds
- Cost reduction for on-site measurements
- Convenient remote measurement
- Water Quality Control e.g.. PH, Oxygen, Algae, avoiding Fish Dying, Health problems
- Detection of leakages in infrastructures in the context of pipes, roofs, running toilets with leakage sensor technology or conventional water meters
Handling a variety of data using cloud technology
- Collecting multiple types of data from different data sources in the cloud using the necessary data streaming technologies
- Transforming collected data to gain actionable insights
- Developing a ML-Model to enhance preparedness for future events.
- Integrating transformed and forecasting data into monitoring systems and maps in departments of municipality institutions like the fire department
