CXOToday has engaged in an exclusive interview with Virender Josan, Founder & MD, Intozi
How is Intozi leveraging AI to revolutionize video analytics?
Intozi is a next-gen video analytics platform empowering businesses with innovative solutions. We are leveraging AI to revolutionize video analytics by deploying cutting-edge solutions across various domains.
- Fence Jumping Detection: Intozi’s AI-powered system swiftly identifies unauthorized attempts to breach fences through real-time monitoring and advanced algorithms. This capability enhances security in protected areas by accurately detecting intrusions and analysing behaviours.
- Object Counting: The Object Counting solution offers high accuracy and efficiency in real-time object counting and detection. By accurately counting different types of objects, it improves traffic flow and crowd management, contributing to enhanced operational efficiency.
- Human Detection: Intozi’s system provides real-time alerts and high accuracy in human detection, ensuring comprehensive surveillance. Customizable privacy settings and crowd monitoring further enhance its performance, making it adaptable to diverse security needs.
- People Counting: Advanced capabilities accurately track footfall in real-time, optimizing staff allocation and improving customer experience. This feature enables efficient crowd management and resource allocation, leading to enhanced operational efficiency in various scenarios.
- Smoke and Fire Detection: Intozi’s system efficiently identifies and prevents fire and smoke incidents with real-time alerts and high accuracy. This capability enhances safety in critical situations by protecting occupants and assets from potential fire hazards.
- Intrusion Detection: Intozi’s AI-powered Intrusion Detection provides real-time alerts and accurate identification of potential threats, bolstering overall security measures. This feature contributes to a comprehensive security approach, effectively mitigating risks across different environments.
- Crowd Management:Intozi integrates AI algorithms to effectively manage crowds in various settings. By analysing video feeds, it can detect crowd density, monitor movement patterns, and identify potential congestion points. This enables businesses to optimize crowd flow, enhance safety, and improve overall customer experience during events, in retail spaces, or public areas.
- Process Monitoring: Intozi’s AI-driven process monitoring solution offers real-time analysis of workflow processes captured through video feeds. By identifying inefficiencies, bottlenecks, or deviations from standard procedures, it enables businesses to streamline operations, improve productivity, and ensure adherence to regulatory standards.
- Slip/Fall Detection: Leveraging advanced computer vision techniques, Intozi’s slip/fall detection system can swiftly identify incidents in real-time. By promptly alerting personnel, it helps mitigate risks of injuries and liabilities in various environments such as workplaces, public spaces, or healthcare facilities.
- Face Recognition: Intozi employs state-of-the-art facial recognition technology to accurately identify individuals from video streams. This capability facilitates personalized customer experiences, enhances security through access control, and enables targeted marketing efforts while ensuring compliance with privacy regulations.
- Emotion Detection: Intozi’s emotion detection system analyses facial expressions in real-time to infer emotional states such as happiness, sadness, or anger. This technology finds applications in retail environments for gauging customer satisfaction, in security settings for detecting suspicious behaviours, and in healthcare for assessing patient well-being.
What distinguishes Intozi from other players in the market, and what unique features contribute to its success?
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.
Can you share the founders’ vision and the inspiring story that led to the creation of Intozi?
Absolutely! The vision behind Intozi is to leverage video analytics technology to solve real-world business problems across various industries. It all started when my friend Naresh and I noticed a significant issue in his friend’s startup – revenue leakage due to staff not properly recording customer visits and sales. This got us thinking about how we could use technology to tackle this problem. And we both envisaged that they need to run video analytics on the camera stream of cameras installed at entry points of outlets.
I had already been working on advanced technologies like computer vision for things like Advanced Driver Assistance Systems. So, when Naresh approached me with this problem, it immediately clicked. Hence, we realized there wasn’t a ready-made solution available in the market that could address this specific challenge effectively.
So, we decided to take matters into our own hands. With dedication and limited resources, we built our first prototype within three months and had a beta version ready in another three. When we deployed it in early 2019, we saw a remarkable decline in revenue leakage at some outlets.
This success inspired us to formalize our efforts into a startup, Intozi. Our mission now is to continue developing solutions that harness the power of video analytics to solve various business challenges across different industries. We believe there’s immense potential in this technology to make a significant impact, and we’re excited to be at the forefront of it.
How does Intozi’s proprietary software contribute to powering a wide array of video AI applications, benefiting both customers and developers?
Our flagship offering IKSHANA is an enterprise video analytics platform that enables the seamless development, expansion, and management of real-time computer vision and deep learning applications. IKSHANA has over 99+ video analytics applications, which cater 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.
Could you elaborate on the pivotal role of video analytics in bolstering safety measures across smart cities, traffic management systems, and other domains?
Video analytics plays a major role in enhancing safety measures across smart cities, traffic management systems, and other domains. In smart cities, video analytics can monitor crowded areas, detect anomalies, and identify potential security threats, thereby 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. Moreover, it also enables predictive maintenance by monitoring infrastructure such as bridges and roads for signs of wear and tear, helping to prevent accidents and ensure structural integrity. In industrial and commercial settings, video analytics can enhance workplace safety by identifying safety hazards and enforcing compliance with safety protocols.
