Physical asset protection is an increasingly critical concern for maintaining operational continuity and financial stability in organizations of all sizes. Traditional asset security measures, such as locks, alarms, and human guards, although still important, often prove insufficient to meet the complex security needs of modern businesses.
Computer vision systems, which employ artificial intelligence and machine learning algorithms, are a powerful ally. They can provide real-time monitoring, anomaly detection, and predictive analysis, offering a level of surveillance and precision that surpasses traditional methods.
How Computer Vision Can Help
Artificial intelligence and computer vision techniques are revolutionizing the way companies protect their physical assets, increasing monitoring efficiency, decreasing incident response time, and reducing costs.
One application is perimeter monitoring, which uses smart cameras and advanced algorithms to create a “virtual fence” capable of detecting and alerting to any intrusion or suspicious activity on the boundaries of a property. When an intrusion is detected, the system can immediately send an alert to a security team.
Access control with facial recognition is another significant application. This technology enables the rapid and accurate identification and authentication of individuals, eliminating the need for badges or passwords that can be lost or stolen. In addition to increasing security, this solution also improves operational efficiency by streamlining the entry and exit process for employees and visitors.
Object removal detection and identification of abandoned objects are crucial features for protecting valuable assets and preventing potential threats. Computer vision systems can continuously monitor specific areas, immediately alerting when an item (such as a tool or piece of machinery) is removed from its designated location or when a suspicious object is left in a monitored area.
Loitering detection is a valuable tool for identifying suspicious behavior. Intelligent algorithms can analyze the movement and dwell time of people in certain areas, alerting the security team to possible criminal or unwanted activities. This is especially useful in areas such as parking lots, building entrances, and restricted zones.
Finally, the monitoring of people and equipment traffic, for example, in enclosed areas such as warehouses, provides valuable information about the flow and utilization of spaces. This technology not only improves safety by preventing workplace accidents caused by the proximity between employees and machinery but also provides important data to optimize layouts, allocate resources, and improve operational efficiency. In industrial environments, for example, this analysis can help identify bottlenecks, improve equipment layout, and increase productivity.
Benefits of Computer Vision-Based Asset Protection
All these AI and computer vision techniques work together to create a robust and intelligent property security system. By adopting these technologies, companies can not only better protect their physical assets but also gain valuable information to improve their operations.
The implementation of these solutions optimizes workflows by automating the monitoring and detection of events. This allows your security team to focus on more critical tasks, as the AI system, always vigilant, sends alerts for any events that require attention.
Another key advantage of AI security systems is their ability to detect potential security breaches or risky behaviors early, before they become critical. For example, the same system responsible for perimeter security can also run algorithms for other tasks, such as monitoring the use of Personal Protective Equipment (PPE), increasing employee safety and reducing the risk of workplace accidents.
In summary, AI and computer vision technologies for security not only improve the effectiveness of operations but also promote safer and more productive work environments for all employees.
AIOS: Asset Protection with Computer Vision in Practice
dtLabs, in partnership with a hardware manufacturer and an infrastructure solutions provider, implemented a project to increase the level of property security at cell tower sites, preventing invasions, vandalism, and equipment theft.
Security cameras were connected to AIOS, dtLabs’ no-code artificial intelligence and computer vision platform. A dashboard customized for the client enables continuous and real-time analysis of video feeds, minimizing false positives and ensuring that the complete context around an incident is captured.
With this system, it was possible to create “virtual fences” delimiting areas with maximum dwell times or immediate notification, as well as automated actions, such as the immediate activation of floodlights in case of intrusion.
As a result, the implementation of an AI-based property security system with AIOS brought significant long-term cost savings. These include the reduction of equipment theft in unmanned cell tower locations, improved worker safety through the reduction of accidents, and a decreased need for 24/7 human monitoring, saving time and resources.
Conclusion
With the increasing sophistication of threats to property security, the adoption of technologies based on AI and computer vision is not only advantageous but essential for the effective protection of physical assets. Solutions such as those implemented with the AIOS platform from dtLabs represent a qualitative leap in surveillance, detection, and incident response.
By automating processes, optimizing resources, and providing valuable insights, AI empowers companies to build safer, more efficient, and resilient environments. Investing in AI-based property security is, therefore, a strategic decision that ensures business continuity and asset protection in a constantly evolving risk landscape.
