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Surveillance

Smart city surveillance enhanced with AI video analytics, ensuring efficient monitoring and proactive management

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Intelligent traffic mangement system
Intelligent traffic mangement system

Surveillance

Smart city surveillance enhanced with AI video analytics, ensuring efficient monitoring and proactive management

Request Demo

Intelligent Traffic Management System

Amazing and high-class traffic management systems for reducing traffic congestion, improving the ease of traffic flow.

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Surveillance Analytics Use Cases

Intozi Offers a wide range of video analytics solutions to automate surveillance
processes for public places and industrial establishments.

waterlogging detection
vandalism detection
Stray Animals detection detection
littering Detection
Pothole Detection
Garbage Overflow Detection

Video Analytics Solutions for Surveillance

Intozi's surveillance system uses AI video analytics enhances safety and security by continuously monitoring video feeds to detect threats, recognize faces, analyze behavior, identify objects, and manage crowd density. It provides real-time alerts for suspicious activities, integrates with other security systems, and ensures quick response to potential hazards.

Stray Animal Detection

Intozi’s Stray Animal Detection system leverages cutting-edge AI video analytics to identify and monitor the presence of stray animals in various environments. By analyzing video feeds from surveillance cameras, the system can detect animals in real-time, helping to prevent potential accidents, property damage, and ensuring public safety. This technology is particularly useful in urban areas, highways, and critical infrastructure sites where stray animals can pose significant risks.

Stray Animals detection

Real-Time Detection: Identifies stray animals in real-time, providing immediate alerts to relevant authorities or personnel.

High Accuracy: Utilizes advanced AI algorithms to distinguish between animals and other objects, ensuring precise detection.

Automated Reporting: Generates detailed reports with the location and movement patterns of detected animals, aiding in efficient response planning.

Integration Capabilities: Easily integrates with existing security and monitoring systems for streamlined operations.

Visual Evidence: Captures and stores video evidence of detected animals, supporting analysis and future preventive measures.

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Pothole Detection

Intozi’s Pothole Detection system utilizes advanced AI video analytics to identify and monitor potholes on roadways in real time. By analyzing video feeds from surveillance cameras, the system can detect potholes early, enabling timely action by authorities with real-time alerts and which results in reducing vehicle damage and accidents. This technology enhances road safety and helps in maintaining smoother traffic flow.

Pothole Detection

Real-Time Detection: Identifies potholes as they form, providing immediate alerts for maintenance crews.

High Accuracy: Uses advanced AI algorithms to accurately detect and classify potholes, minimizing false positives.

Automated Reporting: Generates detailed reports with the location and severity of potholes, facilitating efficient road maintenance planning.

Integration Capabilities: Easily integrates with existing road management and GIS systems for streamlined operations.

Visual Evidence: Captures and stores video evidence of detected potholes, aiding in timely action by respective authorities.

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Object Count

Object Counting is essential for managing inventory and improving warehouse operations. This advanced technology combines computer vision and artificial intelligence algorithms to automatically detect, recognize, and count objects in images or videos. By utilizing machine learning models for object detection, the system effortlessly identifies standard or custom-trained items. Once detected, the AI system quickly counts the objects and provides crucial data, including the quantity and location of each item.

Object Counting

AI-Enabled Object Detection: State-of-the-art deep learning algorithms identify and localize multiple objects simultaneously, seamlessly integrating with video streams.

Object Counting & Classification: Accurately counts objects within specific areas such as room sections, shelves, and conveyor belts while classifying and distinguishing detected objects to enhance inventory management.

Real-Time Processing: Processes images or video streams in real-time, delivering up-to-date and precise data for quick decision-making.

Customizable Solutions: Custom machine learning models can be trained on collected visual data to count specific objects, tailored to the unique needs of businesses.

Scalability: AI vision systems are highly scalable, effortlessly handling large volumes of data and seamlessly integrating with other technologies.

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Garbage Overflow Detection

Intozi’s Garbage Overflow Detection system utilizes advanced AI video analytics to monitor waste bins and detect overflow conditions in real-time. This technology helps ensure cleanliness and hygiene in public and private spaces by providing timely alerts when garbage bins are full, allowing for prompt waste management actions. The system is ideal for use in urban areas, commercial establishments, and public facilities, helping to maintain a clean and healthy environment.

Garbage Overflow Detection

Real-Time Monitoring: Continuously monitors waste bins to detect overflow situations and provides immediate alerts.

High Accuracy: Uses AI algorithms to accurately detect when bins are full, minimizing false alerts.

Automated Alerts: Sends notifications to respective authorities for prompt action, ensuring timely waste disposal.

Integration Capabilities: Easily integrates with an existing system or any third party applications for seamless operations.

Visual Evidence: Captures and stores video evidence of overflow incidents, aiding in effective waste management

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Worker Behaviour Monitoring

Intozi's Worker Behavior Monitoring system employs AI video analytics to monitor worker activities and behaviors across manufacturing, warehousing, textiles, oil and gas, and retail industries. This advanced system helps identify safety hazards, improve productivity, and ensure compliance with safety protocols. Real-time alerts and analytics enable organizations to optimize workflows and enhance operational efficiency, maintaining a safe and efficient workplace environment.

Worker Behaviour Monitoring

Real-Time Monitoring: Continuously monitors of worker activities and behaviors to detect anomalies and safety violations.

Behavioral Analytics: Analysis of worker behavior patterns to optimize workflows and safety measures.

Safety Compliance: Ensures adherence to safety protocols and regulations, reducing the risk of accidents.

Productivity Optimization: Identifies inefficiencies and bottlenecks in workflows to improve productivity.

Customizable Alerts: Instant alerts for supervisors or safety teams in case of unsafe behaviors or potential risks.

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Equipment Malfunction Detection

Intozi's Equipment Malfunction Detection solution leverages AI video analytics to continuously monitor machinery and equipment. By analyzing real-time data from AI-based cameras, the system detects anomalies and deviations from normal operating conditions. This proactive approach helps prevent equipment failures and optimize maintenance schedules, ensuring uninterrupted operations. It provides detailed reports and analytics for better decision-making and performance optimization.

equipment malfunction detection

Real-Time Monitoring: Continuous surveillance and analysis of equipment performance to detect anomalies as they occur.

Anomaly Detection: AI algorithms identify deviations from standard operating parameters, such as abnormal vibrations or temperature changes.

Alerting and Notifications: Provides instant alerts and notifications to maintenance teams or supervisors when anomalies are detected, enabling prompt action.

Predictive Maintenance: Early detection allows for proactive maintenance scheduling, reducing downtime and repair costs.

Integration Capabilities: Seamlessly integrates with existing systems or any third party applications for comprehensive monitoring.

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Customer Movement & Dominant Path Analysis

Intozi's Customer Movement & Dominant Path Analysis solution leverages AI video analytics to track and analyze customer movements within retail environments. By capturing real-time data on foot traffic and identifying dominant paths taken by customers, the system provides valuable insights into shopping behavior. This information helps businesses optimize store layouts, improve product placement, and enhance overall customer experience, ultimately driving sales and customer satisfaction.

Customer Movement & Dominant Path Analysis

Real-Time Tracking: Continuously monitors and records customer movements throughout the store, providing immediate data on foot traffic.

Path Analysis: Identifies and visualizes dominant paths taken by customers, highlighting popular routes and areas of interest.

Heatmap Generation: Creates heatmaps to show areas with high and low customer activity, aiding in strategic store layout decisions.

Customer Behavior Insights: Analyzes shopping patterns and behaviors to understand customer preferences and improve service offerings.

Integration with POS Systems: Combines movement data with point-of-sale information to correlate customer behavior with purchasing decisions, enhancing marketing strategies.

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FAQs

Can I deploy Ikshana on-premises or in a private cloud?
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What is the benefit?
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What if I have other requirement?
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Experience Ikshana

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Gurugram: 1125, Tower B-3, Spaze I-Tech Park, Sec 49, Sohna Road, Gurugram, Haryana 122018

Bengaluru: Plot no. 2, Railway Station Road, Harsha Layout, Kengeri, Bengaluru 560060, India

Pune: Office No. 606, B Building, City Vista, Fountain Road, Kharadi, Pune, Maharashtra 411014

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