TeleEye Intelligence - Revolutionizing Surveillance with Vision AI
- Intelligent Video Analytics: Our vision AI algorithms provide advanced video analytics capabilities, enabling functions such as object detection and tracking, facial recognition, people counting, crowd analysis, and behavior recognition.
- AI-powered Video Management Systems: TeleEye's video management systems leverage AI and machine learning to streamline video data management, analysis, and retrieval.
- Cloud-based Surveillance Solutions: TeleEye offers cloud-based surveillance solutions, providing scalable and flexible options for storing, managing, and analyzing surveillance data.
Improve Safety in Building Construction eg. Helmet Detection
Applications
The technology also sends alerts when accidents or safety risks, such as a worker forgetting to wear a helmet or entering an restricted area, are identified, and also tracks people involved in forbidden activities such as fighting.
People Counting
Applications
Vision AI applied to computer vision, can significantly enhance people counting systems. By leveraging advanced machine learning algorithms, deep learning models, and image processing techniques, Vision AI offers several improvements over traditional methods.
Capturing Smokers in Non-smoking area
Applications
Vision AI can help detect smokers in non-smoking areas by using computer vision techniques combined with machine learning models to recognize specific visual cues associated with smoking.
Visual Defects Finding
Applications
Advanced AI defect detection for complex productions should identify various types of defects, distinguishing critical from non-critical ones.
AI-based surface defect inspection accurately and reliably addresses complex surfaces, cosmetic flaws, and surface conceptualization.
Failure analysis to identify a component’s flaws and causes of failure
Early Detection of Abnormal Discharge in Drainage system
Applications
Swiftly pinpoint and flag any unusual discharges of pollutants in sewage to avert contamination of natural streams, groundwater, or even oceans, in order to prevent the spread of harmful substances.
Early Threat notification
Applications
Monitor areas continuously and immediately identifying any suspicious activities related to robbery or theft.
AI algorithms can be fine-tuned to minimize false alarms by distinguishing between regular activities and actual security threats.
Products Categorization
Applications
AI-based classification systems can automate the process of categorizing and labeling data, making it faster and more efficient compared to manual methods. This automation saves time and reduces human labor.
AI systems can maintain consistent classification criteria, eliminating human biases and reducing errors that can occur with manual classification. This leads to more reliable and consistent results.
Anti-Shoplifting Alert
Applications
AI can analyze customer and employee behavior to identify suspicious or unusual activities. For example, it can detect patterns such as loitering, sudden movements, or frequent visits to restricted areas.
