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AI Video Analytics-Computer Vision for Real-Time Intelligence

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Turn ordinary CCTV feeds into actionable insights with AI-powered video analytics — for security, retail, traffic, and industrial safety. 

Product Development Services

Production-Grade AI Video Analytics for Enterprise & Government 

Xenovex develops AI-powered video analytics software in India that converts CCTV camera feeds into intelligent real-time monitoring systems. Our solutions support use cases like ANPR, PPE detection, footfall tracking, crowd monitoring, and smart surveillance across industries. We integrate seamlessly with existing IP cameras including Hikvision, Dahua, Axis, Bosch, and CP Plus without requiring hardware replacement. The platform can run on edge devices like NVIDIA Jetson or scale securely on cloud infrastructure using AWS, Azure, and self-hosted AI models.

 

Six Core Video Analytics Capabilities 

Our computer vision team has built and deployed analytics pipelines across multiple verticals. 

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Security & Surveillance AI  

Intrusion detection, loitering alerts, weapon detection, abandoned object detection, and crowd density analysis with automated alarms.  

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Traffic & Smart Cities 

ANPR (number plate recognition), vehicle classification, speed estimation, and incident detection for tolls and smart cities. 

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Crowd Management  

Real-time density estimation, queue length monitoring, and flow analysis at high-traffic public venues, religious sites, and stadiums. 

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Retail Intelligence 

Footfall counting, dwell-time analysis, store heatmaps, queue monitoring, and demographic insights to optimize layouts and staffing. 

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Industrial Safety AI  

PPE detection (helmet, vest, mask), restricted-zone monitoring, worker fatigue detection, and quality inspection on production lines. 

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Custom Model Training  

Bespoke YOLO, Detectron2, and MMDetection models trained on your data for industry-specific use cases not covered by off-the-shelf APIs. 

Our Video Analytics Innovation Pillars

Advanced Video Analytics Applications

Deploy automated entry and exit gates with QR, RFID, NFC, biometric, and ANPR (license plate) recognition. Designed for transit hubs, corporate campuses, parking facilities, zoos, botanical gardens, museums, and public attractions with anti-passback and real-time monitoring. Already operational at Bannerughatta Biological Park (Bengaluru) and Semmozhi Poonga (Chennai). We handle hardware procurement, on-site installation, system integration with existing ticketing platforms, and ongoing maintenance.

Build interactive touchscreen kiosks for ticketing, check-in, payments, queue management, and information delivery. Custom UI/UX tailored to your brand, multi-payment support (UPI, cards, mobile wallets), instant QR ticket printing with thermal printers, and offline-first architecture for uninterrupted service in low-connectivity environments. Ideal for ticketing-heavy venues, smart-city information points, and retail self-checkout.

Monitor, configure, and update thousands of deployed devices through a unified cloud platform. Over-the-air firmware updates, automated health alerts via SMS and email, remote diagnostics, and predictive maintenance reduce field-service costs by up to 60%. Our management console gives admins a single pane of glass for device fleets distributed across multiple sites or states.

Detect intrusions, loitering, abandoned objects, and suspicious behavior automatically using AI-powered video analysis. Reduce dependence on human monitoring while improving response times for security teams across enterprise, government, and public infrastructure. Real-time alerts via SMS, email, and mobile push, integrated with VMS platforms like Milestone, Genetec, and Network Optix. 

Count footfall, analyze dwell time, generate store heatmaps, and track queue lengths to optimize layouts, staffing, and conversion. Demographic insights (age and gender estimation) help retailers personalize in-store experiences and measure campaign effectiveness, all while staying compliant with privacy regulations through anonymization. 

Automatic Number Plate Recognition (ANPR), vehicle classification, speed estimation, and incident detection for urban mobility, toll collection, and parking management. Our ANPR engines achieve 95%+ accuracy on Indian number plates (including state codes, multi-line plates, and dirt-obscured plates) and integrate with existing toll and traffic management infrastructure. 

PPE compliance detection (helmets, safety vests, gloves, masks), restricted-zone monitoring, worker fatigue detection, and quality inspection on production lines. Ensure safety standards are met automatically and reduce workplace incidents with real-time alerts to supervisors and shift managers. 

Real-time inference at the edge using NVIDIA Jetson Nano/Xavier and Coral TPU for sub-100ms latency applications, or scalable cloud pipelines on AWS Rekognition and Azure Video Indexer for batch processing — with privacy-compliant, on-premise options for sensitive government and defence use cases. 

Industries We Serve

Government & Smart Cities

Police departments, municipal corporations, traffic authorities, smart city missions.

Retail & Hospitality

Shopping malls, supermarket chains, hotels, restaurants.

Manufacturing & Industrial

Factories, warehouses, construction sites, mining.

Transportation

Airports, metro stations, toll plazas, parking facilities.

Public Venues

Stadiums, religious sites, museums, temples.

Frequently Asked Questions

Can your video analytics software work with our existing CCTV cameras?
Yes.

Our video analytics platform integrates with any standard IP camera supporting RTSP, ONVIF, or HTTP streaming protocols — including Hikvision, Dahua, Axis, Bosch, CP Plus, Sony, and others.

There's no need to replace existing hardware.
How accurate is your ANPR (number plate recognition) for Indian plates?
Our ANPR engines achieve 95%+ accuracy on Indian number plates under typical lighting conditions, including challenging cases like multi-line plates, regional state codes (TN, KA, MH, etc.), and partially obscured plates.

Accuracy drops slightly in heavy rain or poor low-light conditions, where we recommend infrared cameras.
Do video analytics models run on the edge or in the cloud?
Both.

We deploy edge models on NVIDIA Jetson, Coral TPU, or industrial PCs for low-latency use cases (under 100ms response) like access control or industrial safety.

For batch analytics like retail heatmaps or city-wide surveillance, we use cloud GPU instances on AWS or Azure.
Is video analytics privacy-compliant under DPDP Act in India?
Yes.

Our deployments support privacy-by-design — including face blurring, on-premise processing, encrypted storage, and configurable data retention policies.

We comply with India's DPDP Act 2023, GDPR (for European clients), and POPIA (for South African clients).
Can you train custom AI models for our specific use case?
Yes.

While we have pre-built models for common scenarios (footfall, ANPR, PPE), we routinely train custom YOLO and Detectron2 models on client-provided datasets for specialized use cases like cattle counting, defect detection, wildlife monitoring, or industry-specific tasks.
What is the typical accuracy of your video analytics?
Object detection models achieve 90–98% accuracy depending on use case and conditions.

ANPR achieves 95%+ on Indian plates, footfall counting achieves 97%+ accuracy, and PPE detection achieves 92–95% in industrial environments.

We share performance benchmarks during the proof-of-concept phase.
How quickly can a video analytics pilot be deployed?
A typical pilot — covering 5–10 cameras with one or two analytics use cases — can be deployed in 4–6 weeks, including cameras integration, model training/customization, dashboard setup, and user training.