Enhancing Electronic Security with Real-Time Video Analytics

Table of Contents

1. Introduction
2. Background of Irisity and Agent Vi
3. The Challenges in the Electronic Security Industry
4. The Value Proposition of Irisity's Video Analytics Platform
5. Partnering with Intel: Benefits and Successes
6. AI in Video Analytics: Classifications and Anomaly Detection
7. The Power and Simplicity of Intel Architecture
8. The Importance of Optimization Tools in OpenVINO
9. Update Frequency and Product Development at Irisity
10. Conclusion

Introduction

In this article, we will explore the partnership between Irisity and Intel in the field of video analytics for the electronic security industry. We will delve into the background of Irisity and its merger with Agent Vi, discussing the challenges faced by the industry and how Irisity's video analytics platform aims to address them. Additionally, we will highlight the benefits of partnering with Intel and the significant role played by AI in video analytics. The simplicity and power of Intel architecture will be emphasized, along with the importance of optimization tools in OpenVINO. Finally, we will touch upon the update frequency of Irisity's product and conclude with a summary of key points.

Background of Irisity and Agent Vi

Irisity, a Swedish video analytics company, specializes in cutting-edge data science for the electronic security industry. With a focus on applications spanning anti-terrorism, homeland security, corporate security, and business intelligence, Irisity is a global company known for its expertise in the field. In Q4 of 2021, Irisity acquired and merged with Agent Vi, an Israeli video analytics company. This merger marked a significant milestone in the industry as it was the largest acquisition and merger of two video analytics companies to date. Agent Vi, founded in 2003, brought over 20 years of experience to the table, making the combined data set of Irisity and Agent Vi a robust resource for providing video analytics solutions.

The Challenges in the Electronic Security Industry

The electronic security industry has encountered two major challenges when it comes to applying video analytics: nuisance alarms and optimization costs. Nuisance alarms, often caused by false positives, can overwhelm end-user systems, rendering the investment in video analytics ineffective. The time and money required to optimize these systems through calibration, tuning, and testing often surpass the expected benefits, leading to excessive costs. These challenges can be likened to surgery that kills the patient. However, Irisity, in partnership with Intel, aims to tackle these issues head-on and provide accurate and scalable video analytics solutions.

The Value Proposition of Irisity's Video Analytics Platform

Irisity's video analytics platform, called Inovi (soon to be renamed Iris), offers a range of features that address the needs of the electronic security industry. These features include real-time detection of unwanted behaviors, anomaly detection using statistical models, alarm filtering, forensic tools for rapid investigation, and business intelligence through operational insights, heat maps, and reporting. By focusing on the most common security use cases, Irisity provides accurate video analytics out of the box. Unlike some competitors who aim to classify and identify every single object, Irisity has found the sweet spot by delivering accuracy and scalability to its customers.

Pros:

• Accurate and scalable video analytics
• Focus on important security use cases
• Proof of concept available for clients and prospects

Cons:

• Limited scope of classification compared to some competitors

Partnering with Intel: Benefits and Successes

The partnership between Irisity and Intel has significantly enhanced the value proposition of Irisity's video analytics platform. By utilizing Intel architecture, Irisity has gained more flexibility in developing its proprietary data science, resulting in cost reduction and Simplified maintenance. The cost per Channel has decreased, making Irisity's solution more financially attractive. Additionally, Intel's optimization tools in OpenVINO have further improved the performance of the platform. The success of the partnership is evident in the positive feedback from customers and the ongoing development of new features to meet industry demands.

AI in Video Analytics: Classifications and Anomaly Detection

AI plays a vital role in Irisity's video analytics platform, enabling accurate object classifications and anomaly detection. Using AI, Irisity can classify various objects, including people, vehicles, and even distinguish between different types of vehicles. This classification is done without human intervention, thanks to the powerful AI algorithms developed by Irisity. Moreover, the AI monitors the classified data stream for anomalies, detecting unusual behaviors such as crowds forming or people running when they usually walk. This capability enhances the overall security and situational awareness provided by the platform.

The Power and Simplicity of Intel Architecture

One of the key advantages of Irisity's partnership with Intel lies in the power and simplicity of Intel architecture. By leveraging Intel processors, Irisity can efficiently process and analyze video in real-time, eliminating the need for additional GPUs or processors. This streamlined approach results in cost savings, easier implementation, and reliable performance. The Intel architecture also simplifies the integration of Irisity's platform into various systems, making it more accessible and user-friendly for customers.

Pros:

• Powerful processing capabilities using Intel architecture
• Cost-effective solution with simplified maintenance
• Easy integration into different systems

Cons:

• Limited support for virtualized environments

The Importance of Optimization Tools in OpenVINO

Optimization tools within OpenVINO have been crucial in enhancing the performance and efficiency of Irisity's video analytics platform. These tools allow Irisity to fine-tune its data models, resulting in better accuracy and reduced false positives. The ability to quickly optimize the platform based on specific use cases, such as recognizing business jets on thermal cameras, gives Irisity a competitive edge. Additionally, the regular updates and support provided by Intel ensure that Irisity can stay up-to-date with the latest advancements in video analytics technology.

Update Frequency and Product Development at Irisity

Irisity's product updates occur on a quarterly basis, with major updates happening two to four times a year. These updates ensure that the platform remains reliable, secure, and aligned with industry requirements. The hosted application, available for customers as a Software-as-a-Service (SaaS) model, receives monthly updates seamlessly, requiring no intervention from the users. On the other HAND, the on-premise version is updated quarterly and on an as-needed basis to accommodate the specific needs of customers who prefer offline solutions.

Conclusion

The partnership between Irisity and Intel has proven highly successful, allowing Irisity to provide accurate and scalable video analytics solutions for the electronic security industry. By leveraging the power of AI and Intel architecture, Irisity has overcome challenges related to nuisance alarms and optimization costs. With a focus on the most valuable security use cases, Irisity delivers precision and scalability, backed by years of industry experience and proprietary data science. The optimization tools in OpenVINO further enhance the performance of Irisity's platform, ensuring its competitiveness in the market. Through regular updates and ongoing development efforts, Irisity remains committed to meeting the evolving needs of its customers and shaping the future of video analytics in the electronic security industry.

Highlights

1. Irisity, a Swedish video analytics company, partners with Intel in the electronic security industry.
2. Irisity's merger with Agent Vi marks the largest acquisition and merger of video analytics companies.
3. Nuisance alarms and optimization costs are challenges in the industry, which Irisity aims to address.
4. Irisity's video analytics platform offers real-time behavior detection, anomaly detection, alarm filtering, forensic tools, and business intelligence.
5. Partnering with Intel provides flexibility, cost efficiency, and simplified maintenance for Irisity.
6. AI enables accurate object classification and anomaly detection in Irisity's platform.
7. Intel architecture offers powerful processing capabilities and easy integration for Irisity's platform.
8. Optimization tools in OpenVINO enhance the performance and accuracy of Irisity's platform.
9. Irisity's product receives regular updates and can be deployed through hosted or on-premise solutions.

FAQ

Q: Is Irisity using pre-trained models from Intel Open Model Zoo?

A: Irisity develops its proprietary data science and models, leveraging the power and flexibility of Intel architecture. While pre-trained models have value, Irisity's 35 years of combined data and industry focus enable the most accurate results.

Q: How often does Irisity update its product?

A: Updates to Irisity's product occur quarterly, with major updates happening two to four times a year. The frequency depends on the specific needs of customers and the evolving market requirements.

Q: What are the challenges associated with using GPUs in video analytics systems?

A: The challenges include the cost of GPUs, maintenance issues, including cooling and power supply, support for virtualized environments, and compatibility with different operating systems. Intel architecture simplifies these challenges, offering a more streamlined and cost-effective solution.

Q: How does Irisity ensure system reliability in real-time video processing?

A: Irisity's video analytics platform efficiently processes video streams in real-time using Intel architecture, eliminating the need for additional GPUs or processors. This approach ensures reliable performance without compromising on accuracy or scalability.

Q: Can Irisity's platform be integrated into different security systems?

A: Yes, the simplicity and flexibility of Intel architecture enable easy integration of Irisity's platform into various security systems. This ensures compatibility and adaptability to different customer requirements and environments.

Q: How does Irisity address privacy concerns in video analytics?

A: Irisity's platform includes anonymization features, which prioritize privacy while ensuring facility and people's safety. By striking a balance between security and privacy, Irisity addresses the concerns of the industry and its customers.

Q: What support does Irisity receive from Intel in terms of optimization tools?

A: Intel provides optimization tools within OpenVINO, which enable Irisity to fine-tune their data models and enhance performance. These tools ensure better accuracy, reduced false alarms, and continuous improvement of Irisity's video analytics platform.

Q: How does Irisity differentiate its video analytics platform from competitors?

A: Irisity focuses on delivering accuracy and scalability for the most common security use cases, rather than attempting to classify every single object. By leveraging years of industry experience and proprietary data science, Irisity provides the most accurate results out of the box.