AI Camera Market To Hit $300 Bn By 2026: IndoAI Tech Co-founder

Pune-based IndoAI Technologies Pvt Ltd has emerged as a pioneer in artificial intelligence and edge computing, transforming industries with its innovative AI-driven solutions. Rashmi Kulkarni, Co-founder and Director, leads these efforts with a vision to revolutionise AI's role in solving real-world problems. Under her leadership, the company develops cutting-edge AI-powered mobile camera apps and smart solutions designed to enhance safety, efficiency, and automation.

As the Head of UI/UX, she ensures that every product is designed with the user in mind, delivering seamless, intuitive, and engaging experiences. Rashmi’s passion for innovation drives her to continually push the boundaries of what AI can achieve, from smart security systems to advanced AI app integration. With her leadership, IndoAI is not only creating smarter technologies but also reshaping the future of intelligent, user-friendly solutions. Her strategic insights and creative design expertise have positioned her as a key player in making AI accessible and impactful for businesses and communities alike.

Stating that there is huge scope for growth for the AI-powered cameras and smart solutions for finding out solutions to various issues on real-time issues, Rashmi told Bizz Buzz in an exclusive interview that with edge AI smart cameras, their AI technology addresses security and surveillance issues. The solutions offered by them give real-time alerts and analysis, on device processing without being dependent on any cloud based system so no external communication is required for any emergency situations

Please tell briefly about your firm?

Headquartered in Pune, India, IndoAI, as we are popularly known, is focused on developing cutting-edge products that leverage the power of real-time AI processing to solve real-world problems across sectors such as security, retail, healthcare, and industrial automation. Our flagship product, the IndoAI Edge AI Camera, is revolutionising how businesses deploy AI by offering a unique Appization model—a marketplace of customisable AI models that users can install like apps. This breakthrough concept allows businesses to deploy powerful AI models for tasks like facial recognition, vehicle number plate detection, and object recognition with ease and flexibility.

IndoAI’s commitment to making AI more accessible, affordable, and scalable extends to its upcoming product lineup, including an advanced 3-in-1 Smart Lock with facial recognition, a built-in security camera, and video doorbell features.

At IndoAI, we aim to democratise AI by removing the complexity and high costs traditionally associated with it, empowering businesses to adopt AI-driven solutions tailored to their specific needs. We are on a mission to enable smarter, more secure, and efficient operations across industries.

What sets IndoAI’s edge AI smart cameras apart from traditional CCTV systems?

Key challenges in traditional CCTV cameras:are complexity of AI deployment:, setting up AI-driven systems traditionally requires significant technical expertise, complex infrastructure, and long integration periods. Many businesses, particularly small to medium enterprises, struggle with the steep learning curve and the resources required for AI implementation. High costs of AI solutions and developing AI solutions from scratch or relying on cloud-based AI services incur high costs, including the need for powerful servers, data storage, and constant cloud connectivity. This makes AI inaccessible for many organisations, especially in industries where margins are tight or where AI needs to be deployed across multiple locations. IInflexibility in AI models and traditional AI solutions are often rigid and not customisable to specific use cases. Off-the-shelf AI systems may not fully address the nuanced needs of different industries, limiting the effectiveness of AI for tasks like facial recognition, vehicle monitoring, security, and crowd management.

Security & privacy concerns, cloud-based AI solutions raise concerns about data privacy, particularly when dealing with sensitive information like surveillance footage or biometric data. Many businesses and public institutions are hesitant to send data to the cloud due to potential breaches or misuse.

As far as scalability issues are concerned, AI solutions, particularly in large environments like smart cities, industrial automation, or mass gatherings (e.g., Kumbh Mela), require scalable systems that can grow alongside business needs. Traditional AI systems struggle with adapting and scaling to these dynamic environments. Solution via IndoAI Edge AI Camera and Appization.

How does your product cater to various industries, like education, retail, or manufacturing?

As per my opinion, AI has tremendously transformed sectors like education, retail and manufacturing. INDOAI’s technology enhances security and operational excellence by offering real-time, intelligent monitoring and actionable insights tailored to the specific needs of industries like education, retail, and manufacturing. The combination of edge AI processing, customisable AI models, and data privacy protection makes INDOAI’s cameras a powerful tool for improving safety, efficiency, and overall business performance.

What sort of opportunities the manufacturers are expecting from the government to take their potential to the next level?

Manufacturers are expecting following opportunities from the government : R&D incentives – a financial boost to research and development., regulatory support – clear-cut regulations that support using AI and IoT, Public Private Partnerships to collaborate on the plans for smart cities and infrastructure, skill development programs, access to international markets and infrastructure development. We need investment in digital and physical infrastructure in a big way. In fact, such measures could help to accelerate innovation, expand capabilities and spur economic growth.

How does IndoAI’s AI technology work in real-time to address security and surveillance challenges?

Using edge AI smart cameras, our AI technology addresses security and surveillance issues, which will give real time alerts and analysis, on device processing without being dependent on any cloud based system so no external communication is required for any emergency situations. Under IndoAI’s edge AI processing, traditional cameras are used for recording the situation and which will be viewed later. But in emergency situations like fire or any unidentified person is detected where immediate attention is required. Here using IndoAI's smart cameras which process data directly on the device and which will do real time detection and response to security threats.

Under Appization, with edge processing, sensitive data is analysed and processed locally on the IndoAI camera, eliminating the need to transmit data to the cloud. This ensures that sensitive information, such as surveillance footage or personal data, remains secure and private, addressing key concerns around data security and compliance with regulations like GDPR.

With real time detection and alerts, we provide AI-driven edge processing directly on the camera, allowing real-time data analysis and decision-making without relying on external servers or cloud infrastructure. So this is quick and helps to manage any emergency situation.

How is the AI smart camera market in India and what are the projections for the near future?

We see a huge market opportunity with a $300 billion vision with Appization. We believe the AI camera market, driven by the concept of Appization, holds the potential to grow into a $300 billion market in two years. Here’s our reasons: Parallel to App Store and Play Store Revolution. Just as the Apple App Store and Google Play Store democratised access to mobile software, Appization is set to revolutionise the way businesses access and deploy AI models. By offering a marketplace where users can browse, install, and switch AI models like apps, we are unlocking a new wave of AI adoption across multiple industries.

We see a massive global demand for custom AI solutions across industries—retail, security, healthcare, industrial automation, smart cities, and beyond. There’s a growing need for real-time data processing and custom AI solutions. Businesses are looking for AI models that solve their specific problems without the complexity of traditional AI deployment. Appization lowers the barriers to AI adoption by offering flexibility and ease of use at scale.

Can you elaborate on the key AI models that can be deployed on your cameras?

On IndoAI’s smart camera you can deploy n number of models using appization platform which support various AI models to address specific security and operational needs, which includes: 1. Intrusion Detection – Alerts for unauthorised access.

2. Fire and Smoke Detection – Early detection of fire hazards. 3. Facial Recognition – Identifies individuals for access control.

4. License Plate Recognition – Detects and tracks vehicles. 5. Behavioral Analysis – Flags suspicious or abnormal behaviour.

6. Object and Person Tracking – Monitors movements for security. 7. PPE Detection – Ensures compliance with safety gear.

8. Crowd Monitoring & People Counting – Manages occupancy and safety. 9. Retail Analytics – Tracks customer behaviour in stores. 10. Anomaly Detection – Identifies unusual activities.