Mikshi AI analyzes live camera feeds across public spaces, roads, and government facilities to improve public safety, traffic management, and city operations in real time.
Mikshi AI transforms existing city-wide surveillance cameras into a unified intelligence platform for public safety, traffic monitoring, and urban operations.
From crowd monitoring and traffic analytics to incident detection and city-wide search, the platform enables authorities to gain actionable insights across multiple departments using a single system without replacing existing infrastructure.
Growing cities face higher risks related to crowding, accidents, and public disorder. Manual monitoring of thousands of cameras is inefficient and reactive.
Different departments often operate cameras in silos, limiting situational awareness and coordination.
Traditional CCTV systems capture footage but do not provide real-time intelligence for traffic, crowd behavior, or emergencies.
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Monitors crowd build-up in public spaces such as markets, stations, and event venues. Enables authorities to take proactive action to prevent stampedes and safety incidents.
Detects physical altercations and aggressive behavior in public areas. Helps law enforcement respond quickly and de-escalate situations.
Identifies unattended bags or objects in sensitive public locations. Enables rapid investigation to mitigate potential security threats.
Detects early signs of fire or smoke in public buildings and open areas. Allows faster emergency response and reduces risk to life and property.
Detects acts of property damage such as defacing public assets, breaking street infrastructure, or damaging vehicles. Enables faster response and discourages repeat offenses.
Identifies visible weapons such as knives or firearms in public spaces. Helps authorities take immediate preventive action to protect public safety.
Matches faces against watch-lists or blacklisted databases in real time. Supports law enforcement in identifying known offenders across city cameras.
Allows authorities to search for individuals or vehicles based on appearance attributes across multiple camera feeds. Accelerates investigations and situational response.
Analyzes traffic flow at intersections and corridors to identify congestion hotspots. Helps optimize traffic signals and reduce travel delays.
Detects violations such as red-light jumping, wrong-way driving, and illegal parking. Supports automated enforcement and safer road behavior.
Tracks pedestrian movement across streets, parks, and transit zones. Provides insights for crowd management, event planning, and urban design.
Monitors the movement and presence of cleaning and sanitation vehicles across assigned zones. Ensures timely coverage, route adherence, and accountability in city cleanliness operations.
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Integrates with cameras deployed by multiple city departments without requiring hardware changes.
Supports on-premise, cloud, or hybrid deployments to meet government data residency and security requirements.
Designed to scale from a single zone to city-wide deployments involving thousands of cameras.
Provides a unified platform for monitoring, analytics, and reporting across departments.
Live video streams from city cameras are securely ingested from multiple locations.
AI models run on edge devices or cloud infrastructure to analyze video feeds in real time.
Video insights are converted into actionable public safety, traffic, and security events.
Events are visualized through dashboards and alerts, and can trigger IoT systems such as traffic lights, variable message boards, alarms, or public announcement systems.
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