Traffic monitoring and urban mobility
Viisights' behavioral recognition video understanding technology transforms video surveillance into a proactive and predictive solution. By analyzing vast video streams in real-time, it enables automatic detection of critical events, enhancing safety and security in urban areas, businesses, and public spaces while optimizing resources and loss prevention.
Innovative Behavioral Analytics for Security and Urban Mobility
In today’s urban and business environment, ensuring public safety and security has become a priority for businesses and authorities worldwide. While vast networks of video surveillance devices are in place, the key challenge lies not in capturing footage but in automatically detecting, analyzing, and tracking critical events in real time. To address this, viisights developed an advanced behavioral recognition technology that enables proactive threat detection, loss prevention, and resource optimization across various sectors.
The technology achieves its objectives through advanced video analytics that enable real-time detection, classification, and monitoring of vehicles, human behavior, and urban mobility patterns. By counting and classifying vehicles, tracking crowd density, and identifying abnormal behaviors or hazards such as accidents, congestion, and unauthorized access, the system provides critical insights and alerts. These capabilities enhance safety, improve traffic management, and support proactive decision-making in urban environments.
This practice is considered good because it demonstrates significant advancements in security and safety intelligence through the use of behavioral recognition video analytics, particularly via the new updates to the viisights wise™ and viisights IQ™ technologies. These innovations are designed to detect critical events with a focus on context and nuances in human behavior and the dynamics of objects.
Evidence of Effectiveness
Factual evidence supporting its success includes:
1. Performance Improvements: wise 3.0 shows significant improvements in processing throughput and speed, resulting in higher recall and low false positive rates, which enhances overall security intelligence performance.
2. Cost-Efficiency: The use of GPU computing power delivers lower costs per stream, increasing cost-effectiveness in security applications.
3. Reduced False Alarms: viisights IQ™ auto-learning technology reduces false alarms, enhances event precision, and improves operational efficiency by learning what constitutes an event of interest.
4. Global Deployment: These technologies are deployed in critical applications worldwide, helping to create safer and smarter environments in cities, enterprises, transportation hubs, and more.
This combination of measurable performance improvements, cost-efficiency, and the ability to reduce false alarms demonstrates the effectiveness and potential for this practice to benefit various regions or organizations focused on improving safety and security through AI and machine learning.
Turning Video into Action
In today’s urban and business environment, businesses and authorities worldwide have recognized the need to proactively protect civilians from multiple risks and threats. As a result, multiple technologies and hi-tech solutions are employed to keep cities and business areas safe and secure.
In order to cope with safety hazards and security threats while facilitating lesser loss prevention and increased resource optimization, governments, municipalities, enterprises and individuals are relying on vast amounts of video capturing devices. The current challenge lies not in video capturing, but rather in the ability to automatically detect, analyze and track important events and actions documented within vast amount of video content – and doing so within critical timeframes.
Viisights offers unique technological solutions for automatic understanding of video content captured by widespread security cameras and sensors located throughout traffic control centers, roads, public areas, buildings, shopping centers, commercial and industrial zones and more. Our behavioral recognition video understanding technology is capable of processing and understanding large amounts of video streams in near real-time and offline, while enriching a variety of actions, events and scenes of interest with robust intelligence, insights and alerts.
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The project Active2Public Transport is supported by the Interreg Danube Region Programme project co-funded by the European Union. The project was initiated by the Austrian Federal Ministry of Innovation, Mobility and Infrastructure (BMIMI), Department II/6 in cooperation with klimaaktiv mobil – the Austrian Federal climate protection initiative on sustainable mobility.