Advanced AI Solutions for a Safer World

From physical threats to cyberattacks, security challenges are growing more complex. Yet, AI is reshaping the way we protect people, infrastructure, and digital assets by enabling real-time threat detection, intelligent surveillance, and advanced access control. This AI-powered security leverages deep learning, computer vision, and edge AI to make security systems faster, smarter, and more reliable. 

In this context, Axelera AI covers a wide range of computer vision and other AI use cases with its innovative AI inference hardware and software platform for segmentation, pose estimation, image classification, and object detection, to name a few. It is low-cost and uses low power while offering excellent performance, efficiency, and usability. With its Metis AI Processing Unit (AIPU), Axelera AI is pioneering this shift to AI security by delivering high-performance, power-efficient AI inference for applications such as intelligent video analytics, biometric authentication, and perimeter security. 

This article explores how AI is redefining security to be more proactive, adaptive, and resilient against modern threats and shows how Axelera AI helps transition to a technologically advanced, safe, ethical, and sustainable future for all.

Video Surveillance and Monitoring

Intelligent Video Analytics

AI for video surveillance refers to the application of AI to enhance safety and security for people and assets. Utilizing computer vision, security professionals can identify various elements, such as objects, vehicles, people and/or their actions, or specific events. Intelligent video analytics is a technology that analyzes video footage and produces actionable insights by utilizing computer vision and AI. Some primary advantages of intelligent video analytics are increased operational efficiency, enhanced staff and visitor management, improved marketing, and better customer experience.

Three key capabilities enable intelligent video analytics:

1. Object recognition is one of the most important computer vision tasks and involves recognizing and categorizing objects in digital images and video.

2. Anomaly detection is the identification of abnormal events in video surveillance applications and is automated through various machine learning and deep learning techniques.

3. Pattern recognition is the process of using techniques and algorithms to find and examine recurrent patterns in video data.

Revolutionizing Surveillance with Intelligent Video Analytics

The Axelera AI inference card, powered by the Metis AIPU, is redefining the potential of intelligent video analytics by processing high-resolution video streams in real time, making it an ideal solution for advanced surveillance systems. Its ability to utilize cutting-edge AI models for tasks such as object detection, pose and action estimation, and anomaly detection ensures that monitoring is both automated and highly accurate. These capabilities provide security teams with actionable insights and faster response times, enhancing safety and operational efficiency. Additionally, because Axelera AI processes data at the edge, it reduces dependency on cloud infrastructure, lowering bandwidth costs and energy consumption and contributing to a more sustainable security approach.

For instance, in a bustling urban environment, surveillance cameras powered by an Axelera Metis AIPU can continuously scan for unusual activities, unauthorized access, or potential threats, alerting security personnel immediately. The advantage of this approach is real-time identification that does not rely solely on a human watching dozens of camera streams. By leveraging parallel processing, the board accelerates AI inference, enabling the rapid analysis of large video streams and facilitating real-time decision-making. This ensures that user demands for speed and reliability are met without significant increases in costs or reductions in performance. 

The Metis AI Processing Unit (AIPU) is built for computer vision inference on the edge, with scalable technology to meet the future demands of AI acceleration workloads.

Furthermore, since all AI processing occurs on the device, sensitive data like personally identifiable information does not need to be transmitted to the cloud. This edge-based approach strengthens data privacy, making it an ideal solution for organizations operating under stringent regulations. Whether detecting anomalies in crowded spaces or streamlining surveillance workflows, the Metis AIPU is central to intelligent video analytics, shaping a safer and more secure future.

Access Control Systems

AI improves access control by having a predetermined set of people (employees, residents, etc) that can enter a given area; it can also simplify system management and the access control process. AI-powered access control systems can interface with other security systems, such as video surveillance systems, to enable a more thorough approach to security. In addition to computer vision, access control may also draw on Natural Language Processing (NLP).

NLP provides installers and security operators with individualized instructions and guidance to help them perform their jobs more effectively. Trained models use ML to identify patterns and non-obvious relationships in massive amounts of data. These models can then predict potential threats, impending device failures, alarm handling, and other issues.

Biometric Access Control

AI security algorithms can process large volumes of biometric data in real time, enabling quick and precise identification. With the help of ML algorithms, biometric access control systems adjust and improve over time, increasing their accuracy and dependability. Common families of ML algorithms include the Deep Learning Model, Support Vector Machine (SVM), Convolutional Neural Network (CNN), Recurrent Neural Networks (RNN), Gaussian Mixture Model (GMM), and Principal Component Analysis (PCA). These algorithms can be applied to various biometric modalities, such as facial, fingerprint, iris, and voice recognition, to guarantee AI security.

Axelera AI: Redefining Biometric Access Control

The Metis AIPU elevates biometric access control systems by significantly improving the speed and precision of identity verification processes. Their ability to process large datasets at the edge efficiently guarantees that access control systems remain both highly secure and operationally effective, even in demanding, resource-limited environments.

In a nutshell, the Metis AIPU can enable advanced, on-device AI processing algorithms and enhance biometric access control without requiring data transfers to the cloud. This takes place through high-performance and adaptive AI features that improve real-time decision-making, protect data security and privacy, and use less bandwidth. As a result, this helps cut down on both latency and power consumption, enhancing security while minimizing environmental impact.

For example, in a corporate setting, the Metis AIPU can empower access control systems to instantly verify identities granting or denying entry with unparalleled accuracy. This robust approach enhances security for sensitive areas and simplifies the management of access permissions, providing organizations with a future-ready solution for safeguarding their operations. 

Moreover, Axelera AI’s biometric access control solutions are designed with compliance in mind, ensuring adherence to regional privacy regulations such as GDPR in Europe. By processing biometric data on the edge device rather than transmitting it to the cloud, the Metis AIPU aligns with data minimization principles, enhancing both security and regulatory compliance and making biometric access control systems a reliable component of modern security infrastructure.

Perimeter Security

Adding real-time computer vision AI to both new and old perimeter security systems enhances the operations, safety, and security of vital facilities and their staff. These include enhanced threat detection and security process simplification, which result in faster and more accurate service response times and lower video infrastructure costs. Some advantages of perimeter security are improved efficiency and accuracy, cost-effective solutions, scalability and flexibility, and enhanced safety.

Drone Surveillance and Security

The development of AI-driven drone technology represents a significant shift in aerial surveillance capabilities for safety and security applications. AI-powered drones with high-resolution cameras and sophisticated sensors produce precise surveillance data by taking detailed images. This precision is essential for spotting possible security risks and enhancing search and rescue efforts.

AI-powered drones increase the effectiveness of surveillance missions in inhospitable regions where human navigation may be difficult. They offer precise surveillance information essential for spotting possible security risks and streamlining search and rescue missions. Autonomous drones can be used for perimeter security in agriculture, construction, energy, surveillance and security applications, delivery services, and even underwater scenarios like inspecting the safety of an offshore oil rig.

Boosting Perimeter Security with Axelera AI

The Metis AIPU enables drones to autonomously patrol extensive perimeters, equipped with cameras and sensors capable of detecting and responding to intrusions in real time. This advanced integration of AI allows for precise and efficient monitoring, ensuring swift action when potential threats are identified.

For instance, in a large industrial facility, drones powered by Metis can continuously monitor the perimeter, automatically detecting and tracking unauthorized activity. These drones can also play a critical role in disaster response scenarios, providing rapid assessments of damage in challenging environments. By identifying areas requiring immediate attention, they support rescue teams in planning operations more effectively, contributing to improved safety and response efficiency.

Future Trends

Looking ahead, AI in security is rapidly evolving with multi-modal AI systems that integrate video, audio, and contextual data for comprehensive situational awareness. Emerging technologies such as Vision Transformers (ViTs) and Visual Language Models (VLMs) are redefining how AI understands complex security scenarios without requiring predefined rules. Axelera AI is actively developing solutions that integrate these cutting-edge advancements, ensuring that its hardware remains a future-proof choice for edge AI security applications.

Through its Metis AIPU, Axelera AI offers a transformative approach to security, providing robust, intelligent solutions across a variety of applications. Whether it's enhancing video surveillance, improving access control, or securing perimeters, Axelera AI empowers organizations to protect their assets and ensure the safety of their environments. As security threats continue to evolve, the adaptability and power of Axelera AI make it an essential tool in modern security applications.