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Title card: Top Video Analytics Providers for Smart Cities
City Surveillance

Top Video Analytics Providers for Smart Cities

Smart City Bot

India’s smart cities have no shortage of cameras. In a written reply to the Lok Sabha on 6 August 2026, the Ministry of Housing and Urban Affairs said more than 83,000 CCTV surveillance cameras had been installed under the Smart Cities Mission, and that Integrated Command and Control Centres (ICCCs) now run in all 100 Smart Cities for crime monitoring, citizen safety, transport, waste, water and disaster management.[1] The harder question is what happens to all that video. No control room can watch tens of thousands of feeds by eye. That is the job of video analytics.

The question is also timely. After the Mission formally closed on 31 March 2025, MoHUA’s Advisory No. 27 of 10 June 2025 asked Smart City SPVs to prepare O&M plans for the assets they created and set out a roadmap for keeping ICCCs running.[2] For many cities, that means deciding whether to upgrade the analytics layer that sits on top of existing cameras.

This post looks at five Indian video analytics companies that are among the leading names being discussed in the marketplace for city surveillance. It is Trisim’s view, built only from the companies’ official pages and reputable coverage. It is not a ranking, and no company is included because of a paid placement or partnership. For the basics of VMS and analytics, see our Video Analytics guide.

What a city needs from video analytics

Before looking at names, it helps to be clear on the jobs analytics does in an Indian ICCC. Most city deployments use a mix of these:

  • Traffic enforcement. Automatic number plate recognition (ANPR), red-light and speed violation detection, helmet and triple-riding detection, and e-challan generation.
  • Public safety alerts. Intrusion, loitering, abandoned objects, crowd density and counter-flow detection at stations, ghats, markets and events.
  • Forensic search. Finding a person or vehicle across hours of recorded video by colour, type, direction or time, instead of scrolling through footage.
  • Face recognition. Matching faces against police watchlists. This is the most sensitive use and needs a clear legal basis and strong governance.
  • Operations data. Vehicle counts, traffic density and footfall that feed planning and dashboards, beyond security alone.

Names being discussed in the market

The five companies below are listed alphabetically. Each has public, verifiable work with police forces, smart cities or large public events in India.

AllGoVision. A video analytics software company whose city features include boundary crossing, wrong-way detection, illegal parking, crowd detection, ANPR and red-light violation detection. Its case studies describe perimeter and indoor security analytics at GIFT City in Gujarat, and crowd counting and counter-flow alerts on 75 cameras at the 2015 Nashik Kumbh Mela.[3][4] Its project list also includes city surveillance in Gandhinagar, the Bandra–Worli Sea Link in Mumbai and a 51-city programme in Madhya Pradesh.[5] In a LinkedIn post, the company said Pune Metro uses its analytics for crowd counting, tripwire, left-object, counter-flow and loitering detection.[6]

Awiros. An Indian company that describes its platform as a Video AI operating system, with an app marketplace on top. The Bengaluru Safe City project, implemented by Honeywell, runs on the Awiros platform. Its CEO has said investigators there use it for rapid video search to trace suspects across locations.[7] After Deepavali 2025, Bengaluru City Police said a Firecracker Detection app from Awiros analysed live feeds from over 200 existing cameras to curb bursting after the 10 p.m. limit.[8] For Mahakumbh 2025, Awiros deployed face recognition and video analytics at six railway stations around Prayagraj, including Prayagraj Junction.[9] The company raised a $7 million Series A round in September 2022, led by Inflexor Ventures and Exfinity Venture Partners.[10] The company said on LinkedIn that the Bengaluru Safe City project helped police crack an inter-state criminal case, as The Hindu had reported.[11] In January 2026 it also said on LinkedIn that its platform supported crowd estimation, traffic-flow analysis and predictive alerts for Bengaluru’s New Year celebrations around MG Road, Church Street, Indiranagar and Koramangala.[12]

i2V Systems. An Indian maker of VMS, video analytics, traffic management and ICCC software. In January 2026 it reported a PSIM-based command and control platform with VMS and AI analytics for Saharanpur Smart City, and a VMS deployment managing thousands of cameras for Chennai’s smart city initiatives.[13][14] It also described a crowd management system and VMS built with Haridwar Police for the Mahakumbh, using AI analytics to monitor crowd density across ghats, roads and entry points.[15] According to the company, Mandi Police in Himachal Pradesh has also deployed its traffic management system and VMS for traffic enforcement and city surveillance.[16]

Intozi. A Gurugram-based Vision AI company whose Ikshana platform focuses heavily on vehicles and traffic. Its Delhi Police case study describes ANPR for all vehicle types, hotlisting of suspect vehicles with SMS or WhatsApp alerts, journey tracking across checkpoints and integration with ZipNet and e-challan systems.[17] In August 2026 it announced a partnership with Netherlands-based Axelera AI to run Ikshana on Axelera’s Metis edge AI processors, and said the platform serves more than 500 customers.[18] In May 2026, the company said on LinkedIn that it had deployed a traffic management system for the Ludhiana Smart & Safe City Project with more than 1,000 analytics licences, auto-generated e-challans and NIC and Vahan integration.[19] The Tribune later reported that Ludhiana’s AI cameras caught 66,079 traffic offenders from April to June 2026, most for riding without a helmet. Intozi shared that report on LinkedIn as a deployment it supported.[20][21] Its website also carries a testimonial from the SSP of Bhiwani about the city surveillance system Intozi delivered.[22]

LENS Corporation. A Gurugram-headquartered company whose LENS View 3.0 combines VMS, video analytics, face recognition and ANPR in one application, alongside a separate ICCC product. The company says it has more than 100,000 camera licences deployed across rail, defence, safe-city and enterprise programmes, and that the platform conforms to ONVIF Profiles G, M, S and T.[23] It lists an STQC application security compliance certificate dated 3 April 2025, Class-I Local Supplier status under the Make in India procurement order and RailTel OEM empanelment. Its site does not name specific city customers.[24] In August 2025, the company said on LinkedIn that LENS View 3.0 now ships with a crypto-agile architecture and a migration path to post-quantum cryptography.[25]

How to compare providers

A list of names is only a starting point. Track records differ, and so do the problems each platform was built for. When we look at a provider for a city or campus project, these are the questions we ask:

  • Will it work with the cameras you already have? Most cities have cameras from several makers. Ask for ONVIF conformance, including Profile M, which standardises how analytics metadata and events, such as object counts, face and number-plate recognition, are sent to a VMS or IoT platform.[26]
  • Has it been proven on Indian roads? ANPR for Indian plates, mixed traffic and two-wheeler violations are very different from European or US conditions. Ask for reference sites with similar camera counts and use cases.
  • Edge, server or cloud? Running analytics on cameras or local servers saves bandwidth. Running it centrally keeps hardware simpler. Many cities need a mix.
  • Can operators actually use it? Alerts are only useful if the control room can act on them. Test false-alarm rates on your own cameras during a pilot, and check how alerts reach the ICCC workflow. Our Control Rooms guide covers how ICCCs are organised.
  • Is it open? Avoid lock-in by asking for documented APIs and data export, so analytics can be replaced or added without ripping out the VMS.

What this means for city and building owners

  • Start from use cases, not features. Pick three or four outcomes, such as e-challans, crowd alerts at a known hotspot or faster investigations, and write them into the tender with measurable acceptance tests.
  • Pilot before you scale. Ask shortlisted providers to run on a sample of your own cameras, in day and night conditions, before full rollout.
  • Plan for privacy now. The Digital Personal Data Protection Rules, 2025, notified in November 2025, give organisations an 18-month phased timeline to comply, and require clear consent notices and prompt breach notification.[27] Face recognition and long video retention need a documented purpose and access controls. We covered this balance in Data Privacy and Video Surveillance.
  • Secure the platform. Analytics servers, VMS and cameras sit on the city network. Apply CERT-In’s Cyber Security Guidelines for Smart City Infrastructure to access control, patching, network segmentation and vendor management.[28]
  • Budget for the long run. Models need retraining, licences need renewal and cameras age. Make sure the O&M plan covers analytics as well as hardware.

Trisim’s view

In Trisim’s view, India’s cities have already done the hard work of putting cameras on the ground and command centres in place. The next gains will come from analytics that operators trust, that work across mixed camera fleets and that are run with clear privacy and security rules. The right provider is the one that proves itself on your own cameras and use cases, not the one with the longest feature list.

Looking for smarter, secure-by-design video surveillance? Explore aigence AI Video Analytics.

aigence AI video analytics for video surveillance

Sources

  1. Lok Sabha (Ministry of Housing and Urban Affairs), Unstarred Question No. 3075, 6 August 2026
  2. Press Information Bureau (Ministry of Housing and Urban Affairs), Evaluations of Measurable Outcomes Delivered by SCM, 3 August 2026
  3. AllGoVision, AllGoVision’s Smart City Solutions in GIFT City, Gujarat, accessed 22 October 2026
  4. AllGoVision, Video Analytics Aiding in Crowd Management in Kumbh Mela at Nashik, accessed 22 October 2026
  5. AllGoVision, City/Traffic Surveillance projects, accessed 22 October 2026
  6. AllGoVision on LinkedIn, Pune Metro video analytics post, 7 September 2022
  7. Express Computer, AI will move cities from reactive response to predictive intelligence: Vikram Gupta, CEO, Awiros, 29 December 2025
  8. The Hindu, AI-powered system helped contain firecracker violations during Deepavali, say Bengaluru police, accessed 22 October 2026
  9. Awiros, Transforming Railway Stations for Mahakumbh 2025, accessed 22 October 2026
  10. The Hindu BusinessLine, Deep-tech start-up Awiros raises $7 million in Series A round, 14 September 2022
  11. Awiros on LinkedIn, Bengaluru Safe City Project enables breakthrough in crime detection, 15 November 2025
  12. Awiros on LinkedIn, Bengaluru New Year safe city post, 5 January 2026
  13. i2V Systems, i2V Command and Control (PSIM) Along with VMS Successfully Installed in Saharanpur Smart City, 8 January 2026
  14. i2V Systems, Chennai Smart City Deployment: Scaling Surveillance Across Thousands of Cameras, 22 January 2026
  15. i2V Systems, i2V Crowd Management & VMS Successfully Installed in Haridwar for Mahakumbh Festival, 22 January 2026
  16. i2V Systems, i2V ITMS & VMS Successfully Installed in Himachal Pradesh, Mandi, 23 January 2026
  17. Intozi, Transforming Vehicle Surveillance With Intozi’s AI Video Analytics: A Case Study of Delhi Police, accessed 22 October 2026
  18. Intozi, Intozi Tech Partners with Axelera AI to Power Next-Generation Vision AI, 18 August 2026
  19. Intozi on LinkedIn, Transforming Ludhiana into a Smarter & Safer City with AI-Powered Traffic Enforcement, 6 May 2026
  20. The Tribune, Ludhiana: Over 66K e-challans in 3 months; riders without helmet lead charts, 14 July 2026
  21. Intozi on LinkedIn, Ludhiana ITMS making news, 14 July 2026
  22. Intozi, Intozi home page (client testimonials), accessed 22 October 2026
  23. LENS Corporation, VIEW: Video & sensor intelligence, accessed 22 October 2026
  24. LENS Corporation, Railway surveillance, accessed 22 October 2026
  25. LENS Corporation on LinkedIn, This Independence Day: LENS View goes Quantum-ready, 15 August 2025
  26. ONVIF, Profile M: Metadata and events for analytics applications, accessed 22 October 2026
  27. Press Information Bureau (MeitY), Government notifies DPDP Rules to empower citizens and protect privacy, 14 November 2025
  28. CERT-In, Cyber Security Guidelines for Smart City Infrastructure (CISG-2025-01), 17 February 2025

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