RNIT Products

IoT and AI unite for proactive safety and security

By combining IoT's data collection capabilities with AI's advanced analytics and decision-making capabilities, our teams have created a powerful real-time monitoring and alerting security system that can proactively identify and respond to threats and critical events in various environments.

RMAS implements an alerting mechanism with image-based mobile notifications and options to choose immediate actions. It works seamlessly with video input devices such as smartphones and IP cameras, or sensors such as motion sensors, temperature sensors, door sensors, and more. RMAS offers a comprehensive solution for proactive surveillance, quick decision-making, and efficient resource allocation.

Highlights

• Real-time monitoring
• On-demand snapshots
• Wanted list vigilance
• AI-based face recognition
• Actionable notifications
• Low bandwidth support
• Mob detection
• Number plate recognition
• Customisable visual alerts
• Seamless dashboard integration

Use Cases

Smart Home Security
Connected devices around the home can continuously collect and transmit data on activities, movements, and environmental conditions. AI algorithms analyse this data in real time to identify patterns, anomalies, and potential security threats. Through predictive analysis, RMAS can preemptively detect unusual behaviours or breaches, sending instant alerts to homeowners' devices. This empowers homeowners with remote access to live video feeds, real-time alerts, and the ability to control security features from their smartphones.

Public Safety and Law Enforcement
IoT sensors, cameras, and devices strategically placed in public spaces gather real-time data on crowd movements, traffic flow, and environmental conditions. Our systems identify unusual patterns, potential threats, and emergent situations. By leveraging features like ‘Wanted’ list vigilance, mob detection and number plate recognition, RMAS can anticipate security risks and trigger timely alerts, allowing law enforcement agencies to respond proactively. This interconnected network enables authorities to manage resources efficiently during events and emergencies.

Traffic Management
Utilising IoT-connected traffic cameras and sensors to monitor traffic flow, congestion, and accidents, RMAS can optimise traffic signals in real time and reroute vehicles for efficient Smart City planning. Additionally, real-time monitoring allows authorities to respond swiftly to accidents or incidents, ensuring prompt assistance and efficient traffic control.

Building Management
Connected devices embedded in building systems, such as HVAC, lighting, and security, continuously collect data on environmental conditions and energy usage. Our systems process this data in real time, enabling predictive analysis of equipment performance, energy inefficiencies, and potential faults. Facility managers receive real-time notifications about anomalies or critical events, allowing them to take immediate action or schedule maintenance.