True Security concerns hover across every aspect of daily life and in today’s fast-paced digital advancements, video analytics has become a game-changer. From real-time detection of events to generating actionable insights, video analytics software plays a vital role in monitoring, detecting and responding to different incidents. At Nextbrain, our AI-powered video analytics solution is created with expert supervision and skills providing a sheer effectiveness than other traditional systems. Age-old surveillance systems have evolved and differ in accuracy, capability and adaptability.
This blog revolves around comparing traditional video surveillance and AI-powered video surveillance systems. By comprehending the differences between conventional video analytics and AI-based video analytics, different industries can leverage the best possible solutions for security needs.
Video analytics can be defined as the process of automatically analyzing video streams for detecting, tracking and interpreting objects or patterns in video data. The process involves the extraction of valuable data from raw video footage allowing effective surveillance for real-time human monitoring. It has a vast range of benefits across different industries impacting their daily work processes.
To have a proper understanding, we need to draw the reader's attention towards their fundamental differences.
Age-old video-based surveillance systems have several limitations and loopholes. They can detect simple objects, and identify movements, and breaches in predefined areas. On the contrary, AI video analytics software uses machine learning algorithms to learn patterns from large datasets and identify varied actions & objects. It enables activity recognition, behavioural analysis, and anomaly detection that are beyond the scope of outdated systems.
Mostly relying on predefined algorithms and rules, traditional video surveillance systems like motion detection change in alteration of video frames. Unlike outdated systems, it utilizes convolutional neural networks to recognize complex features and patterns.
Security is the key aspect of surveillance systems. Conventional video-based analytics often have technical glitches and are more prone to false alarms or missed detections. As a result, their performance and efficiency are often diverted by environmental changes. Contrarily, AI video analytics solutions offer more accurate results and are unaltered even with environmental changes. The systems help in maintaining highly accurate results with exact outcomes.
Scalable approaches in processing large volumes of data are less effective in traditional video analytics systems. Whereas advanced AI video analytics are completely designed for processing high volumes of data in real time. It uses cloud processing to tackle extensive surveillance networks.
In this context, it is important to mention the various real-world applications of AI-powered video analytics.
In recent years, video analytics have been widely used across different industries, administering valuable insights, streamlining processes and advancing security systems.
Unlike traditional video analytics, AI video surveillance software plays a major role in traffic monitoring and management fostering a smart city infrastructure. From monitoring traffic flow to detecting traffic violations like triple riding, no helmet, violating traffic laws and identifying congestion, it can enhance safety measures, track vehicles, and detect violations.
It can monitor public places and detect any kind of unusual behaviour in city areas. The technology is empowered with the potential to automatically recognize number plates of vehicles and other security threats in real time. For smart city safety, advanced intelligence technology is highly impactful.
It improves the detection of industrial safety compliances across construction facilities, manufacturing units and healthcare facilities. It can identify personal protective equipment ensuring workers are abiding by safety protocols. It helps in detecting safety hazards, maintaining a secure working environment and preventing accidents.
The technology enforces prompt identification of suspects and effective face recognition in law enforcement. By real-time analysis of video footage, it can identify individuals within a crime scene, easily locating suspects and improving overall public safety concerns.
Artificial intelligence can seamlessly detect human faces granting access to authorized personnel in secure areas and denying unauthorized access in real time. Cameras integrated with advanced technology ensure security in airports, shopping malls and high-security areas.
As the leading AI video analytics software development company, Nextbrain has been working with deep learning and machine learning algorithms to harness the extensive capabilities of AI in video surveillance. It is specially designed to render data-driven insights, actionable intelligence and operational efficiency.
It can detect unusual patterns and behaviours, administer early warnings and prevent potential security breaches and incidents.
It provides proactive security measures and advanced situational awareness by recognizing complex behaviours and activities.
Ensuring the large volumes of data that are analyzed quickly, it is optimized for real-time data processing.
Maintaining high accuracy across different conditions, our AI technology continuously learns and adapts to new data effectively reducing missed alerts or false alarms and improving reliability.
The transformation from traditional video analytics to AI video analytics has benefitted many industries across the globe. At Nextbrain, we strive to achieve excellence in navigating the complexities of industrial environments and achieve peak efficiency. Nextbrain stands at the forefront of technological evolution administering advanced solutions that address real-world challenges across different industries.
Are you interested to know more about our organization and AI-powered video analytics platform? Get in touch with us.
Saran
September 30, 2024 Author