Intozi revolutionises digital landscape with AI video analytics, says its Founder Virender

With expertise in computer vision, deep learning, machine learning, and IoT, Intozi empowers smart cities, manufacturing, traffic management, retail, and warehousing. Virender Josan, Founder & MD, Intozi, explains how it revolutionises the digital landscape with AI video analytics, offering tailored solutions across various sectors.

At the core of Intozi's offerings is IKSHANA, an enterprise video analytics platform with over 99 applications for diverse use cases. Providing seamless development and real-time management, IKSHANA ensures businesses adapt swiftly in today's dynamic environment

What is the founder’s vision and the unique story behind Intozi?

Intozi was founded in 2019, born from a clear vision inspired by a real-world problem encountered by Naresh, my co-founder. He observed a significant revenue leakage in his friend's startup, caused by unauthorized sales transactions. This issue sparked the idea of automating customer identification through video analytics to prevent such financial losses.

With a background in advanced technologies such as computer vision, specifically through work on Advanced Driver Assistance Systems, Naresh was well-equipped to delve into the potential applications of video analytics. When he shared his problem with me, it immediately resonated, leading to a collaborative effort to explore and address this challenge.

Together, we envisioned leveraging video analytics to solve business challenges across various sectors. At the time, no existing solutions effectively addressed the specific issue they aimed to solve, prompting them to develop an alternative. Despite limited resources, we spent months creating a prototype. By early 2019, our solution was successfully deployed, resulting in a significant reduction in revenue leakage at several outlets. This initial success strengthened our determination to further explore the applications of video analytics in real-world scenarios.

What practical applications does Intozi offer its clients?

Some of the practical applications we offer to clients are given below.

Fence Jumping Detection: Offering real-time monitoring, this AI-powered system swiftly identifies unauthorized attempts to breach fences, enhancing security in protected areas.

Object Counting: With high accuracy and efficiency, this solution counts and detects different types of objects in real-time, improving traffic flow and crowd management for enhanced operational efficiency.

Human Detection: Providing real-time alerts and high accuracy, this system ensures comprehensive surveillance, adaptable to diverse security needs with customizable privacy settings and crowd monitoring.

People Counting: Accurately tracking footfall in real-time, this feature optimizes staff allocation and improves customer experience by enabling efficient crowd management and resource allocation.

Smoke and Fire Detection: Efficiently identifying fire and smoke incidents with real-time alerts and high accuracy, this capability enhances safety in critical situations, protecting occupants and assets from potential fire hazards.

Intrusion Detection: Providing real-time alerts and accurate identification of potential threats, this AI-powered feature bolsters overall security measures, effectively mitigating risks across different environments.

Crowd Management: By analysing video feeds, this solution effectively manages crowds in various settings, optimizing crowd flow, enhancing safety, and improving overall customer experience during events or in public areas.

Process Monitoring: Offering real-time analysis of workflow processes captured through video feeds, this AI-driven solution identifies inefficiencies, streamlines operations, and ensures adherence to regulatory standards.

Slip/Fall Detection: Leveraging advanced computer vision techniques, this system swiftly identifies incidents in real-time, helping mitigate risks of injuries and liabilities in various environments.

Face Recognition: Utilizing state-of-the-art facial recognition technology, this feature accurately identifies individuals from video streams, facilitating personalized customer experiences, enhancing security, and enabling targeted marketing efforts while ensuring compliance with privacy regulations.

Emotion Detection: Analysing facial expressions in real-time, this system infers emotional states for applications in retail, security, and healthcare environments, providing insights into customer satisfaction, detecting suspicious behaviours, and assessing patient well-being.

How Intozi is transforming video analytics through the magic of AI?

Intozi is revolutionizing video analytics with its cutting-edge AI technology, enabling businesses to extract actionable insights from video data efficiently. By leveraging advanced machine learning algorithms, Intozi's platform automates the analysis of vast amounts of video footage, identifying patterns, objects, and activities with high precision. This automation reduces the need for manual monitoring, saving time and resources.

Our versatile, AI-driven solutions cater to various industries. Our platform’s continuous learning capabilities ensure that the AI models become more accurate over time, adapting to new data and scenarios. This dynamic approach not only enhances performance but also opens up new possibilities for innovation in video analytics.

What are the kind of clients you target and why?

We have collaborations with industry leaders such as Honeywell, JCI, Genetec, Intel, Nvidia, AWS, Dell, and Milestone, reflecting our commitment to delivering cutting-edge solutions. Our clients span across multiple verticals, from traffic enforcement to safety and security. Some of the notable names include Tata Steel, Ministry of Defence, Aditya Birla Group, Bharat Petroleum, Larsen and Toubro, Maharashtra Police, Delhi Police, Haryana Police, Chennai, Kerala Police among others.

Tell us more about IKSHANA?

IKSHANA is Intozi’s flagship offering. It is an enterprise video analytics platform that enables the seamless development, expansion, and management of real-time computer vision and deep learning applications. IKSHANA boasts over 99+ video analytics applications, catering to a wide range of use cases across multiple domains. It offers users the flexibility to run any video analytic application on any video source, empowering enterprises with freedom and customization options.

What is the USP of Intozi?

Intozi’s platform offers users the flexibility to run any video analytics application on any video source, empowering enterprises with freedom and customization options. The seamless integration enhances safety measures, providing timely alerts and reliable insights for informed decision-making. Our cloud video management system offers remote access to video surveillance systems from any device with an internet connection, ensuring real-time monitoring and quick response to security issues.

How has Intozi grown in the marketplace?

Intozi began as a startup in the video analytics domain in 2019. Since then, we have grown rapidly. By 2024, we have established a solid customer base exceeding 100 clients and formed 10 major partnerships with global MSI and VMS players. Our team has expanded from 3 to 35 members. Today, we are among the top 5 video analytics companies in India, specializing in safety and security. Initially focused on traffic and transportation, we have now expanded into manufacturing, data centers, oil and gas, warehousing, and more.

What does the future hold for Intozi?

Since inception, Intozi has established a significant presence in the market. We anticipate continued growth in the future, driven by our commitment to innovation, strategic partnerships, and a diverse range of clients. We are dedicated to reshaping the landscape of AI video analytics and contributing to the positive transformation of industries worldwide.

Delve into the crucial role of video analytics in enhancing safety across smart cities, traffic management, and more.

Video analytics plays a crucial role in enhancing safety measures across smart cities, traffic management systems, and various other domains. In smart cities, video analytics can monitor crowded areas, detect anomalies, and identify potential security threats, enabling authorities to respond promptly to incidents and ensure public safety.

In traffic management systems, video analytics can optimize traffic flow, detect accidents or congestion, and enforce traffic regulations. By analysing video feeds from surveillance cameras, authorities can implement proactive measures to alleviate traffic congestion and enhance road safety. Additionally, video analytics supports predictive maintenance by monitoring infrastructure, such as bridges and roads, for signs of wear and tear, helping to prevent accidents and maintain structural integrity.

In industrial and commercial settings, video analytics improves workplace safety by identifying safety hazards and enforcing compliance with safety protocols.