As Artificial Intelligence (AI) spreads its wings across the sectors, various products have hit the market. Everyone is looking to boost their performance using AI, hence using this in different ways they want to. Joining the bandwagon, AI company IndoAI Technologies has launched IndoAI Edge AI Camera to assist industries and individuals.

In an interview with the National Chronicle, IndoAI Technologies’ Co-founder & Director Rashmi shared insight about the company’s vision behind inventing this product and how it can change the scenario. Edited Excerpts:

IndoAI Edge AI Camera

What are the key features of the IndoAI Edge AI Camera, and how does it utilise edge computing?

The IndoAI Edge AI Camera features real-time video analytics, object detection, facial recognition, Fire & smoke detection, gesture recognition all processed directly on the device. It leverages edge computing to reduce latency, minimise bandwidth use, and enable offline AI functionality, ensuring faster decision-making without relying on cloud connections.

Can you explain the concept of “Appization” and how it simplifies AI model deployment for businesses?

“Appization” simplifies AI model deployment by allowing businesses to install AI applications directly onto edge devices like smartphones. It creates an app-like marketplace for AI models, making the deployment as easy as downloading apps, with no need for complex integration or AI expertise. It can lead to widespread adoption of computer vision based Ai models as Appization will increase affordability ( subscriptions like your favourite mobile apps) and supply , as it will encourage more & more Ai developers to host such Ai models on our store.

Which industries benefit most from the IndoAI Edge AI Camera, and can you provide examples of its applications ?

IndoAI Edge AI Camera is highly beneficial across various industries, including security & surveillance, retail, manufacturing, housing societies, hostels, and educational institutions.
The camera is used for real-time threat detection, facial recognition, and perimeter monitoring, enhancing security measures in sensitive locations such as office buildings and public spaces.

Hyper/supermarkets, restaurants, cafes, cloud kitchens, jewelry shops, and high-end fashion stores leverage IndoAI cameras for customer behavior analysis, queue management, and theft prevention. It helps optimize store operations, improve customer experience, and secure high-value goods.

In industrial settings, the camera monitors production lines, ensures quality control, detects anomalies, and enhances workplace safety by analyzing equipment usage and worker behavior in real time.

IndoAI cameras support resident and visitor management, vehicle number identification, and access control, ensuring security in gated communities and apartment complexes.

The cameras help monitor entry/exit points, identify visitors, and maintain a secure environment for residents, enhancing safety in shared living spaces.

IndoAI cameras are used for student safety, visitor monitoring, and attendance management. They can also assist in securing campus facilities and monitoring key areas like entry gates, classrooms, and common areas.

How does real-time AI processing enhance operations and decision-making for businesses?

Real-time AI processing allows businesses to harness data as events unfold, providing immediate insights and enabling faster decision-making. This capability has a significant impact across various functions and industries by streamlining operations and improving responsiveness.

Businesses can make critical, data-driven decisions in real-time without waiting for data to be processed in the cloud. For instance, a security system can identify and respond to unauthorized access immediately, triggering alerts or lockdowns without any delay.

Real-time AI processing helps streamline workflows by automating decision-making processes. In retail, for example, AI can analyze customer traffic patterns and adjust staffing or product placement dynamically. In manufacturing, it can continuously monitor equipment to ensure optimal performance, reducing downtime.

In industries like manufacturing, real-time AI processing enables predictive maintenance. By continuously analyzing machine data, AI can detect patterns indicating equipment failure before it occurs. This proactive approach reduces unscheduled downtimes, extends equipment life, and lowers maintenance costs.

AI-powered cameras can detect security threats—such as unauthorized access, loitering, or suspicious behavior—instantaneously. Real-time alerts allow security teams to respond faster, preventing incidents before they escalate. For housing societies or educational institutions, this can significantly enhance on-site safety.

In sectors like manufacturing and retail, real-time AI can inspect products as they are being produced or displayed, identifying defects or quality issues immediately. This ensures only high-quality goods reach customers, improving brand reputation and reducing waste due to recalls or faulty products.

AI-driven systems in real-time can analyze customer interactions, such as in retail stores or online platforms. It can offer personalized recommendations, adjust store layouts, or allocate staff to areas with high foot traffic, enhancing the overall customer experience.

By providing instant insights and triggering automated responses, real-time AI processing helps businesses stay agile, improve productivity, and maintain high operational standards. This capability also enables more intelligent, proactive approaches to challenges, rather than reactive ones, boosting overall business performance.

What security measures ensure data privacy with on-device AI processing?

IndoAI employs on-device encryption, data anonymization, and secure processing, ensuring sensitive data never leaves the device. This minimizes external security risks, aligning with strict privacy regulations.

How does IndoAI make AI technology accessible to small and medium-sized businesses?

That’s what our main vision is to make Ai technologies accessible to small and medium-sized businesses.

IndoAI lowers the barrier for small and medium-sized businesses by providing affordable, plug-and-play AI solutions. The marketplace offers pre-built AI models tailored to common business needs, reducing complexity and cost. Idea of Appization, to make Ai models available in plug n play format at subscription, is targeted towards this goal .

What AI models are available in the IndoAI marketplace, and how often are new models added?

As of now only three ; face recognition, vehicle number detection & Fire & Smoke detection.

We are in very early phase of Appization and challenge is to ensure the quality & standardization of Ai models. We are trying to develop a testing & benchmarking framework for Ai models.

We are in touch with several developers across the globe to persuade them to host their Ai models with us.

How customizable are the AI models to suit different business needs?

As of now we are developing and hosting models which are very generic to suit multiple industry needs. But in future we want to be very specific like same Ai model for could be customized differently for a restaurant or café.

How does IndoAI’s collaboration with NVIDIA enhance the camera’s capabilities?

We should not call it a partnership as we are just using NVIDIA processors. In future we plan to develop our own chip specifically targeted towards use cases of Edge computing like Ai cameras, IOT devices and Drones.

What are IndoAI’s long-term goals for advancing AI accessibility and innovation across industries?

IndoAI aims to democratize AI by continuously improving edge AI technology, expanding its marketplace, and making AI tools more accessible across industries. The goal is to foster innovation and ensure businesses of all sizes can benefit from cutting–edge AI.