Product & Technology
1. What is IndoAI and how does it work?
IndoAI is an edge AI camera platform with Appization allowing you to install, upgrade, or switch AI models like apps. It processes video footage in real time directly on the device, enabling instant alerts, intelligent automation, and seamless integration with existing systems. Whether you deploy IndoAI cameras or connect it to your existing CCTV network, it transforms surveillance into real-time, on-site decision-making.IndoAI represents a cutting-edge edge AI camera platform distinguished by its innovative Appization framework. This unique architecture empowers users with the flexibility to effortlessly install, upgrade, or switch AI models, analogous to managing applications on a smartphone. By processing video footage in real time directly on the device itself, IndoAI unlocks a realm of immediate capabilities, including instant alerts triggered by detected events, intelligent automation of responses based on real-time analysis, and seamless integration with pre-existing security and operational infrastructure.
Whether an organization chooses to deploy purpose-built IndoAI cameras across their premises or to connect the platform to their existing network of CCTV cameras, the implementation of IndoAI fundamentally transforms traditional surveillance systems. It elevates passive monitoring into a proactive system capable of real-time, on-site decision-making. This shift enables immediate responses to security threats, optimization of operational processes based on intelligent insights derived from video data, and a significant reduction in reliance on centralized, cloud-based processing. The edge-based architecture ensures enhanced privacy, reduced latency, and reliable operation even in environments with limited network connectivity.
2. How is IndoAI different from a traditional CCTV camera?
Traditional closed-circuit television (CCTV) systems primarily function as recording devices, capturing and archiving video footage for later review. These systems offer a passive approach to surveillance, requiring manual inspection of recorded video to identify events of interest. In contrast, IndoAI cameras represent a significant advancement in video surveillance technology. These intelligent cameras are equipped with edge computing capabilities, enabling them to analyze video data in real time directly on the device itself. This on-device processing allows for the detection of predefined events based on sophisticated artificial intelligence (AI) models. Upon detecting such an event, the IndoAI system can trigger immediate, real-time alerts, notifying relevant personnel of potential issues as they occur.
Furthermore, IndoAI introduces a unique “Appization” model, offering unparalleled flexibility and scalability. Unlike traditional CCTV systems that often require hardware replacements to add new functionalities, IndoAI cameras can dynamically integrate new AI models through software updates, similar to installing applications on a smartphone. This means that users can easily add advanced features such as fire detection, intrusion detection, object recognition, facial recognition, and people counting without the need for costly and disruptive hardware upgrades. This software-centric approach ensures that the surveillance system can evolve and adapt to changing security needs and emerging threats over time, providing a future-proof and cost-effective solution. The ability to customize the camera’s intelligence through installable AI models provides a significant advantage over static, feature-limited traditional systems.
3. What is an Edge AI camera?
Edge AI cameras process AI locally, eliminating cloud dependency, ensuring low latency, enhancing privacy, and enabling offline operation. This shift brings AI to the sensor level, offering key advantages.A major benefit is reduced reliance on internet connectivity, allowing autonomous operation in remote, mobile, or unstable network environments, crucial for applications like precision agriculture, autonomous vehicles, and remote security.Local processing significantly lowers latency by eliminating data transmission to the cloud, enabling near real-time decision-making vital for autonomous vehicles, industrial automation, and advanced security systems.
Edge AI enhances privacy and security by processing sensitive data locally, reducing the risk of breaches and aiding compliance with data privacy regulations.
Long-term cost savings are achieved through reduced bandwidth consumption and lower cloud service fees, making edge AI economically viable. Its distributed nature also provides a more resilient and scalable AI infrastructure, enabling smart devices with localized intelligence for more efficient, secure, reliable, and cost-effective solutions.
4. What AI models come pre-installed with IndoAI cameras?
IndoAI edge cameras ship with four foundational models: face recognition, vehicle number plate recognition (ANPR), fire and smoke detection, and gesture recognition for detecting distress signals.
Additional models are available via the IndoAI marketplace.
5. Can I add or remove AI models on IndoAI cameras?
Yes. IndoAI’s Appization capability lets you treat AI models like installable apps. You can choose, add, remove, or upgrade models anytime via our dashboard — no need for firmware updates or hardware changes. Plus we can also develop Ai models for customers on a chargeable basis. IndoAI’s Appization feature revolutionizes how you interact with AI models by transforming them into easily manageable applications. This innovative capability allows for unparalleled flexibility and control over your AI infrastructure. Through our intuitive dashboard, you gain the power to select, integrate, remove, and upgrade AI models at your convenience, without the complexities associated with traditional hardware and software management. Forget about cumbersome firmware updates or costly hardware replacements – Appization handles it all seamlessly. This means you can adapt your AI capabilities to your evolving needs with remarkable agility, always having access to the most suitable and up-to-date models. Furthermore, recognizing that off-the-shelf solutions may not always meet specific requirements, IndoAI offers custom AI model development services for customers. Our expert team can build tailored AI solutions on a chargeable basis, ensuring you have access to the precise functionality and performance your unique applications demand. This combination of readily available and custom-built AI models, managed through our user-friendly Appization platform, provides a comprehensive and future-proof approach to integrating artificial intelligence into your operations.
6. What is Appization and how does it benefit me?
Appization is IndoAI’s modular AI platform architecture. It gives you the flexibility to tailor your camera’s behavior by installing only the AI models you need. This reduces cost, increases relevance, and future-proofs your investment.
7. Can IndoAI work without an internet connection?
Yes. IndoAI cameras are designed for offline or low-bandwidth environments. All critical AI processing runs locally, and the device can store events or sync them later when connectivity is restored.
8. What types of alerts can IndoAI generate in real time?
IndoAI offers a comprehensive alert system leveraging AI-driven event detection to enhance security and operational awareness. When pre-defined AI events are triggered, such as the identification of unauthorized personnel attempting access to a restricted area, the detection of fire or smoke, the identification of individuals loitering in sensitive zones, the recognition of theft-like gestures, or the detection of suspicious vehicles entering a facility, IndoAI can initiate a variety of alert mechanisms. These mechanisms include the generation of real-time push notifications delivered to designated mobile devices or desktop applications, the activation of on-site sirens to provide an immediate audible warning, the transmission of instant WhatsApp alerts containing relevant event details and potentially accompanying visual evidence, and seamless integration with external third-party systems to initiate automated phone calls to key personnel or dispatch SMS text messages containing critical alert information. This multi-faceted approach ensures that security breaches, safety hazards, and other critical events are promptly communicated through multiple channels, enabling rapid response and mitigation. The specific types of alerts and their delivery methods can be customized based on the specific needs and operational protocols of the user organization, providing a flexible and adaptable solution for diverse security and monitoring requirements.
9. Can IndoAI cameras detect specific events like fire, theft, or intrusions?
Yes. IndoAI’s AI models are trained to detect a variety of real-world events, including fire or smoke, objects left behind, restricted zone entry, shoplifting gestures, and emergency gestures like distress signals.
10. What’s the maximum number of cameras IndoAI can support in a single network?
Our centralized architecture can support thousands of cameras with real-time model performance monitoring and distributed AI processing. Large-scale deployments in campuses, cities, or industrial zones are easily managed via our control dashboard.
Deployment & Integration
11. Can IndoAI work with my existing CCTV infrastructure?
Yes. IndoAI can ingest live feeds from your existing IP cameras (via RTSP or ONVIF protocols) and layer AI models over them — no need to rip and replace hardware. This gives your legacy cameras a smart new brain.
12. What formats or camera feeds does IndoAI support?
We support industry-standard formats including RTSP, ONVIF, and custom integrations. IndoAI is designed to be camera-agnostic and future-compatible.
13. Is any special hardware needed to use IndoAI with old CCTVs?
No. You only need a connection to our AI engine — available as an edge server, cloud platform, or hybrid box — depending on your site’s setup.
14. How long does it take to deploy IndoAI at a site?
Deployments range from same-day setup for small installations to 3–5 days for larger sites. IndoAI is plug-and-play for edge cameras and quick-to-integrate with existing CCTV systems.
15. Is there an on-premises deployment option available?
Yes. IndoAI supports fully on-prem deployments for secure environments where internet usage is restricted — ideal for defense, banking, and government clients.
16. Does IndoAI support cloud and hybrid deployments?
Absolutely. IndoAI can run entirely on cloud, on-prem, or in hybrid mode — depending on your compliance and performance requirements.
17. Can I integrate IndoAI with my existing VMS or CMS?
Yes. IndoAI exposes APIs for seamless integration with most modern Video Management Systems (VMS), alarm systems, and control room software.
18. Do I need to change my existing network or cabling to use IndoAI?
No. IndoAI works on your current IT infrastructure unless specific bandwidth or latency constraints require a network upgrade.
19. Can IndoAI be used in outdoor environments?
Yes. IndoAI edge cameras are weatherproof (IP66+), with options for thermal, night vision, and solar-powered configurations for 24×7 outdoor use.
20. Is IndoAI suitable for rural and low-bandwidth locations?
Yes. IndoAI is specifically designed for India’s low-connectivity zones. It can operate offline, store locally, and sync periodically — perfect for remote villages, highways, and border areas.
Privacy, Security & Compliance
21. Does IndoAI store video data locally or in the cloud?
You have full control. IndoAI supports both local (on-device) and secure cloud-based storage, based on your deployment needs and data policies.
22. Is my data secure when using IndoAI?
Yes. IndoAI uses industry-grade encryption, secure APIs, and access control protocols to protect your video feeds and analytics data.
23. Does IndoAI comply with Indian data privacy laws?
Absolutely. IndoAI is fully compliant with India’s Data Protection Bill and is built to respect user privacy and data sovereignty.
24. Can I control which data is stored or deleted?
Yes. Our dashboard allows full customization over data retention, automatic deletion timelines, and access logs.
25. Are the AI models trained on publicly available data?
Yes. IndoAI uses a combination of public datasets and anonymized field data, ensuring high accuracy while maintaining ethical standards.
26. Can IndoAI be used in GDPR-compliant environments?
Yes. IndoAI supports GDPR features like anonymization, data minimization, role-based access, and full audit trails.
27. Is facial recognition enabled by default?
No. Facial recognition is opt-in and must be activated by the system administrator. You remain in full control of which models are active.
28. Can I disable or restrict certain AI models for privacy concerns?
Yes. All AI models in IndoAI can be independently enabled, paused, or removed based on your compliance requirements.
AI Models & Capabilities
29. What kind of AI models are available in the IndoAI marketplace?
The IndoAI marketplace offers 20+ models, including face recognition, ANPR, fire/smoke detection, gesture recognition, shoplifting alerts, crowd density, object left behind, and more.
30. Can I request a custom AI model for my specific use case?
Yes. We work with clients to develop and deploy tailored AI models for unique environments like ports, mines, labs, or religious events.
31. How accurate are IndoAI’s AI models?
IndoAI models are trained for >95% accuracy in controlled environments, and continually improved with real-world data and user feedback.
32. Does IndoAI support multiple AI models running simultaneously?
Yes. IndoAI’s edge architecture supports concurrent execution of multiple models, limited only by the device’s compute capacity.
33. Can IndoAI detect gestures or distress signals?
Yes. Our gesture recognition models can identify distress gestures like crossed arms — critical for women’s safety and silent SOS situations.
34. Can IndoAI recognize number plates from moving vehicles?
Yes. Our ANPR model is tuned for real-time recognition of Indian license plates, even in motion or low-light conditions.
35. How frequently are AI models updated or improved?
IndoAI models are regularly updated through OTA (Over-the-Air) updates. Enterprise clients can also schedule private model retraining.
Industries & Use Cases
36. Is IndoAI suitable for smart city surveillance?
Yes. IndoAI is ideal for smart cities — enabling vehicle tracking, sanitation monitoring, crowd alerts, and integrated command center dashboards.
37. Can IndoAI help reduce theft in retail stores?
Absolutely. IndoAI detects suspicious gestures, loitering, and unauthorized access, helping prevent theft and shrinkage in real time.
38. How can IndoAI be used in schools or colleges?
Automate attendance with facial recognition, detect mobile phone use in classrooms, and manage restricted zones like labs or hostels.
39. What value does IndoAI offer for manufacturing units or warehouses?
Ensure safety compliance (helmets, PPE), detect fire or smoke, monitor SOP violations, and prevent unauthorized entry into production lines.
40. Can IndoAI help with law enforcement or policing?
Yes. IndoAI provides real-time alerts for blacklisted vehicles, missing persons, object detection, and post-incident forensic search.
41. How is IndoAI used in hospitals or healthcare facilities?
From mask compliance and hygiene audits to unauthorized access detection in ICUs or OTs, IndoAI helps improve security and compliance.
Pricing & Licensing
42. What is the pricing model for IndoAI?
Pricing is modular: pay per camera, per AI model, and per deployment type (cloud, on-prem, or hybrid). Contact us for customized plans.
43. Is there a subscription or licensing fee for AI models?
Yes. Models are billed monthly or annually per stream. Discounts are available for bulk deployments and multi-year contracts.
44. Can I buy IndoAI cameras without the AI software?
No. IndoAI hardware is tightly integrated with our AI engine to deliver optimal performance. We offer it as a bundled solution.
45. Are there enterprise or government pricing plans available?
Yes. We support pricing for government tenders, pilot programs, NGOs, PSUs, and enterprise-grade SLAs.
46. Is there a free trial or demo available?
Yes. You can schedule a free remote demo or request a trial deployment kit for on-site evaluation.
📞 Support & Training
47. What kind of support does IndoAI offer after deployment?
We offer 24/7 remote support, on-site troubleshooting, regular OTA updates, and performance tuning for AI models.
48. Do you offer training for staff or security operators?
Yes. We provide multilingual training (online and offline) tailored to administrators, control room staff, and field operators.
49. How can I book a demo or consultation with IndoAI?
Visit our website, click on “Book a Demo,” or message us on WhatsApp. Our team will respond within 24 hours.
50. Is WhatsApp support available for IndoAI customers?
Yes. IndoAI offers WhatsApp-based support for issue tracking, status updates, and AI bot-powered FAQs.
Installation, Maintenance & Expansion
51. How is IndoAI installed at a new site?
IndoAI supports plug-and-play installation with minimal configuration. Cameras can be deployed using PoE (Power over Ethernet), Wi-Fi, or 4G SIMs, and auto-register with the cloud dashboard.
52. Can IndoAI run on solar-powered setups?
Yes. IndoAI edge cameras support solar panel configurations and battery packs, making them suitable for remote, power-scarce environments.
53. What is the typical maintenance required for IndoAI cameras?
Very little. IndoAI is designed to be low-maintenance. Periodic cleaning, software updates (OTA), and health monitoring via the dashboard keep it running smoothly.
54. Can we remotely update or configure IndoAI devices?
Yes. IndoAI supports full remote configuration, diagnostics, and model upgrades — saving time and manpower.
55. Is IndoAI scalable to thousands of cameras?
Yes. IndoAI’s architecture is designed for horizontal scaling. You can manage thousands of cameras across locations with role-based access and real-time control.
Global Readiness & Compliance
56. Is IndoAI suitable for international deployments?
IndoAI complies with global certifications and supports English interfaces. It is currently used in projects across India, Southeast Asia, and Africa.
IndoAI is committed to adhering to international standards and holds various global certifications, ensuring its reliability and trustworthiness for diverse applications worldwide. The platform’s user interface is currently available in English, facilitating ease of use for a broad international user base. IndoAI’s technology is actively being implemented and utilized in a growing number of projects spanning multiple continents, including India, countries within Southeast Asia, and across the African continent, demonstrating its adaptability and relevance in diverse geographical and cultural contexts.
57. Can IndoAI models be adapted for region-specific behavior?
Yes. AI models can be fine-tuned with regional data (e.g., license plate formats, gestures, dress code) to improve local accuracy.
Yes, artificial intelligence models possess the inherent capability to undergo a process known as fine-tuning, which allows them to be specifically adapted and optimized through the incorporation of regional or localized datasets. This targeted training enables the AI to achieve a higher degree of accuracy and relevance when operating within specific geographic or cultural contexts. For instance, in the realm of computer vision applications, an AI model designed for license plate recognition in India can be fine-tuned using a substantial dataset of Indian license plate formats, thereby significantly improving its ability to correctly identify and interpret these plates compared to a generic model trained on a global dataset. Similarly, in applications involving human interaction analysis, AI models can be trained with data reflecting regional nuances in gestures, body language, and non-verbal cues, leading to more contextually appropriate interpretations. Furthermore, AI systems used for analyzing visual data in specific regions, such as those employed in surveillance or fashion analysis, can be refined using datasets that accurately represent local dress codes, attire preferences, and common clothing styles. This process of fine-tuning with regionally specific data ensures that the AI model becomes more attuned to the unique characteristics and patterns prevalent in a particular area, ultimately enhancing its performance and reliability for localized applications.
58. What export certifications does IndoAI have?
IndoAI devices follow CE and FCC guidelines and are eligible for export under the relevant Indian export categories.
IndoAI devices are designed and manufactured to comply with both the European CE (Conformité Européenne) and the United States FCC (Federal Communications Commission) guidelines and regulations. These certifications demonstrate that our devices meet essential safety, health, and environmental protection requirements in Europe and adhere to the regulations for electromagnetic compatibility and radio frequency emissions in the United States. Furthermore, IndoAI devices are classified under the pertinent Indian export categories, making them eligible for international export in accordance with Indian trade laws and procedures. This compliance with international standards and export regulations facilitates the global distribution and use of IndoAI products.
59. Is IndoAI compatible with GDPR in Europe?
Yes. IndoAI has a GDPR-friendly mode with anonymization, opt-in consent, and region-specific data retention policies.
IndoAI is committed to user privacy and data protection, and therefore offers a GDPR-friendly mode. This mode incorporates several key features to ensure compliance with the General Data Protection Regulation. Anonymization techniques are employed to safeguard user identities by removing or obscuring personally identifiable information. Furthermore, IndoAI utilizes an opt-in consent mechanism, requiring explicit user agreement before collecting and processing any personal data. To adhere to GDPR’s data minimization and storage limitation principles, IndoAI implements region-specific data retention policies, ensuring that user data is stored only for as long as necessary for the specific processing purpose within the relevant jurisdiction. These measures collectively demonstrate IndoAI’s dedication to providing a secure and privacy-respecting experience for its users in compliance with GDPR regulations.
60. Can IndoAI support multi-timezone operations from a single dashboard?
Yes. IndoAI supports timezone-aware scheduling, reporting, and alerting across globally distributed installations.IndoAI offers comprehensive support for managing operations across different time zones. Its scheduling system allows for precise planning and execution of tasks, taking into account the specific time zones of various installations. Reporting functionalities are also timezone-aware, ensuring that data and insights are presented accurately according to the relevant geographical locations. Furthermore, the alerting system is designed to trigger notifications based on the time zones of the affected installations, minimizing delays and ensuring timely responses to critical events across globally distributed operations. This timezone-aware design is crucial for organizations with a worldwide presence, enabling seamless coordination and efficient management regardless of geographical boundaries.
Vision LLM & Semantic Search
61. What is semantic video search in IndoAI?
Semantic search allows users to type natural language queries like “man wearing red shirt near exit” and retrieve relevant video clips. It makes browsing video as easy as searching Google.
62. How does IndoAI’s Vision LLM work?
Our Vision LLM combines large language models with visual understanding. It processes video frames like text, enabling smart summarization, question answering, and contextual alerts.
63. Can I use IndoAI to ask questions like ‘Show me all fire incidents this week’?
Yes. With IndoAI’s Vision LLM capabilities, you can query your video archive in plain English and instantly retrieve results tied to specific events.
64. Is semantic search available for both real-time and historical video?
Yes. IndoAI supports real-time inference as well as archived semantic search across days or months, depending on your storage setup.
65. Does IndoAI support multilingual video search queries?
Yes. Our LLM-powered engine supports multilingual queries including Hindi, Marathi, Tamil, and more — making it accessible for diverse teams.
66. How is semantic search different from metadata filtering in VMS systems?
Traditional VMS relies on pre-tagged metadata. IndoAI’s semantic search interprets video scenes using AI — allowing dynamic, flexible, natural queries without needing pre-labels.
67. Is semantic search available on all IndoAI devices?
It is available on advanced IndoAI models with Vision LLM modules and sufficient storage/compute. Lighter versions offer partial search via indexed AI events.
68. Can third-party apps integrate IndoAI’s semantic search API?
Yes. Developers can use our REST API to embed semantic search capabilities into custom dashboards, apps, or monitoring systems.
69. How does IndoAI compare to other vision LLM solutions globally?
While others are cloud-heavy, IndoAI offers vision LLM capabilities optimized for edge — combining privacy, speed, and affordability.
70. Will IndoAI support video captioning and summarization features?
Yes. Future updates will include automatic video summaries, incident tagging, and daily log generation powered by Vision LLM.
Developer SDK & Appization
71. What is the Appization model for IndoAI?
Appization is IndoAI’s unique modular platform that allows AI developers to build, test, and deploy computer vision models like apps — directly on the camera. This enables flexible edge AI deployment without hardware changes.
72. Can third-party developers build AI models for IndoAI?
Yes. IndoAI offers an SDK and sandbox environment for third-party developers to build, test, and submit models to the IndoAI marketplace.
73. What languages or frameworks does the IndoAI SDK support?
The IndoAI SDK supports Python, TensorFlow, ONNX, and PyTorch. Developers can package models into containerized formats (e.g., Docker) compatible with our runtime.
74. Is there a certification or testing process for models submitted to IndoAI?
Yes. All models are reviewed for accuracy, performance, resource usage, and security. Certified models are published on the IndoAI App Store.
75. Can models be monetized on the IndoAI marketplace?
Yes. Developers can list models on a pay-per-use or license basis. IndoAI shares revenue based on transparent developer-friendly terms.
76. How are model updates handled once deployed on a camera?
Models can be versioned and updated via the IndoAI dashboard. Users can roll back or auto-update based on their policy.
77. Can I restrict a model’s access to certain devices or clients?
Yes. Developers can tag models for private or public deployment, and control availability by organization, geography, or plan.
78. What tools does IndoAI offer for debugging or benchmarking AI models?
The SDK includes performance profiling, FPS tracking, event logs, and model comparison tools — making development and QA easier.
79. How do I test a new AI model before publishing it?
IndoAI offers a web-based test bench with preloaded video datasets and simulated camera streams for fast pre-deployment testing.
80. Where can I apply to become a developer for IndoAI?
Visit indo.ai/developer to apply. Once onboarded, you’ll get SDK access, documentation, and early feature previews.