AI enables machine learning by using a variety of training models to simulate and infer the status or appearance of objects.
AI video analytics has become widely popular due to a large number of real-world use cases, from identifying different objects and detecting unusual behavioral patterns to facial recognition and count the number of workers in the factory. Over the past few years, this technology has advanced significantly, now offering customers more functionality, impressive accuracy and lower prices. This explains its widespread acceptance and apparent massive growth. According to a recent prediction, the AI video analytics market will grow into a $22 billion industry by 2027.
By and large, we can see a tendency to modernize security infrastructure through the integration of AI video analytics into existing video surveillance systems. What are the reasons? In this blog article, we’ll discuss the actual advantages of using AI technologies from a security perspective.
I. Increase operational efficiency with AI security camera
- Deterring thieves and thereby reducing shoplifting thanks to the mere presence of security cameras;
- Remote monitoring of what the people in store are doing;
- Combating employee theft;
- Providing legal evidence of theft or other wrongdoing;
- Reducing insurance costs;
- Having access to images for a legal period of 30 days thanks to the digital storage provided by the system installer.
II. Detection of a wide variety of threats using AI camera
1. Powerful Intrusion Detection
A powerful intrusion detection system is the first line of defense and an invaluable tool for any organization or individual. AI makes system more effective due to the automation of threat detection and negligible false positives, which enables security personnel to focus timely on what really matters. Another important factor is immediate real-time alerts with all the necessary information about the event, which helps to increase situational awareness and significantly reduce response time to the threat.
Motion detection cameras without AI video analytics generate numerous false alerts, around 100 to 150 per camera daily, burdening sites with multiple cameras. False alarm filtering technology reduces these false alerts significantly, allowing operators to focus on real alarms. Upon intrusion detection, essential visuals and metadata are sent to security units for prompt action.
2. Smart Object Detection
With AI cameras, they can find objects in the factory by their coordinates or position relative to a human operator, and handle them safely, as well as keep tabs on stock and inventory.
If the objects needed are mixed up with other items, machine vision systems can detect them by classifying and segmenting visual data using light and laser projection or Time-of-Flight imaging (which measures a light beam’s rebound time). This allows machines to count, pick, and sort objects in what would otherwise be a tedious and error-prone job for a human. AI cameras can even learn from this task to help machines handle objects they haven’t seen before.
3. Abnormal Behavior
AI-powered video surveillance is also a useful tool for the detection of aggressive behavior such as fights, acts of vandalism or violence. When notified about these events, security can intervene just in time before the situation escalates so as to minimize negative consequences and probably prevent a tragedy.
Particular attention is now placed on computer vision-based solutions that can detect smoke and fire at a greater distance based on the images from thermal cameras, thus ensuring early detection of the danger.
AI analytics integrated with thermal cameras also helps manufacturers implement smart temperature screening of machinery, thermal scanning for lithium-ion battery overheating, heating of transformers and electrical substations, thus protecting valuable assets and minimizing accident hazards to employees.
4. Faster video search
The main point is that without AI video analytics, conducting forensic analysis of video footage for security purposes can be time-consuming and challenging, especially in large campuses and business premises with numerous cameras. AI technology significantly speeds up the process by allowing users to search for specific actions or objects in footage quickly. Additionally, AI-powered person search is advantageous as it can identify individuals without relying solely on facial recognition, even if faces are obscured or of low quality. While false positives may occur, manual verification helps minimize errors, enabling investigators to locate individuals across the facility efficiently.
5. Business insights
Video analytics serve as a valuable tool for identifying trends and patterns, as well as analyzing historical data to generate insights crucial for business operations. This data empowers businesses to enhance decision-making processes, streamline operations, resolve bottlenecks, and boost profitability. For instance, retailers utilize AI technology to analyze traffic flow, capturing data on customer movement within their premises and generating heat maps for more insightful consumer behavior analysis. This enables them to derive actionable insights, forecast product demand, evaluate store performance, and implement strategies to optimize operations and profitability. One effective approach involves utilizing in-store traffic analytics to pinpoint areas of high customer engagement, facilitating a deeper understanding of popular products and locations. By leveraging this information, businesses can optimize product placement, strategically positioning high-profit items in areas of heightened customer focus. Furthermore, foot traffic heatmaps aid in optimizing store layouts and staffing decisions, such as increasing personnel during peak hours, resulting in reduced queue times and an overall enhanced customer experience.
Utilizing intelligent software simplifies the process of recognizing trends and evaluating the success of marketing endeavors. AI analytics have the capability to produce valuable insights by analyzing demographic characteristics like gender, age, as well as customer interests and behaviors. This wealth of data facilitates the alignment of products and services with customer preferences, enabling more personalized recommendations to be offered. Furthermore, the aggregated statistics can pinpoint areas within the store that are susceptible to frequent shoplifting incidents, allowing for targeted security enhancements aimed at minimizing losses effectively.
III. Conclusion
We have outlined several significant benefits associated with integrating AI-driven video surveillance into your security framework. The primary objective is to safeguard your business premises from potential losses resulting from activities such as shoplifting, intrusion, robbery, and other significant security incidents. This is accomplished through the deployment of sophisticated algorithms that collaborate seamlessly with current cameras and video management systems, resulting in a highly intelligent and preemptive surveillance setup. By doing so, not only does it ensure the protection of your personnel, facilities, and assets, but it also contributes to substantial savings in terms of time, resources, and financial investments.
If you have any questions, please contact us immediately for further advice.