Traffic and Smartcity monitoring system with AI

SaranrajChinnamuniya 246 views 25 slides Sep 02, 2024
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About This Presentation

Introducing Computer Vision AI for Smart Cities!

In the era of smart cities, our cutting-edge Computer Vision AI is revolutionizing urban management by focusing on Traffic Monitoring, Safety Monitoring, and Cleanliness Monitoring.

Traffic Monitoring: Our AI-driven solutions optimize traffic flow,...


Slide Content

REAL TIME MONITORING OF TRAFFIC & SMART CITY WITH COMPUTER VISION AI AI video analytics gathers & analyzes video data in real time generating actionable insights within a smart city.

Smartcity AI video analytics uses computer vision algorithms to detect and analyze safety concerns, waste management and traffic violations in the city. Introduction It helps to detect the public issues which are trained with AI model and notify the monitoring team in real time with web push notification. They will get the DATA in hand to solve it!

Why smart cities are leveraging AI video surveillance? Traffic monitoring Safety monitoring Cleanliness monitoring Smart city surveillance systems powered by AI aids in traffic management & control with real-time monitoring. Keeps a real-time check on public safety concerns across smart city infrastructure. It detects & analyzes suspicious activity in real-time. It manages waste disposal with real-time monitoring of garbage spillage, waste bin overflow & timely removal resulting in sustainable waste management practices.

Key numbers 29% Reduced traffic congestion 56% Improved road safety 49% Increased emergency response 51% Improved smart city management 23% Enhanced waste management 56% Improved smart parking management

Traffic monitoring with AI

No helmet detection The intelligent traffic management solutions for a smart city help in detecting no helmets in drivers. The automated no-helmet detection system can easily differentiate between riders wearing helmets & without helmets.

Car seat belt detection Real-time surveillance systems can detect drivers wearing seat belts & helmets & differentiate them from drivers without seatbelts & helmets. It prevents the risk of accidents & adds to road safety measures.

Red light violation One of the traffic signal rule factors that AI video surveillance systems detect is red light violation. It uses computer vision algorithms to detect vehicles violating traffic.

Triple riding Detects two-wheeler triple riding in real-time by analyzing the image or video data & leveraging actionable insights. It can generate alerts on triple-riding detection.

Accidents Any unusual events like vehicle accidents, hitting, & collisions are seamlessly identified. Smart city surveillance can differentiate normal events from unusual ones & alert immediately.

Pothole detection Using deep learning, the technology can detect potholes on roads in real time. For an improved road infrastructure & maintenance efficiency early pothole detection is important.

Vehicle detection with ANPR Vehicle detection with ANPR identifies vehicles at different angles & in varying light conditions in real time. Using computer vision algorithms, AI surveillance software analyzes vehicles with automatic number plate recognition.

Vehicle parking issues The AI technology enables smart vehicle parking management in urban cities. It can detect vehicles parking in the wrong area, availability of parking spaces & others.

Safety monitoring with AI for smart city

Criminals detection On detection of criminals under surveillance zones, it immediately triggers alert & sends notifications to the security personnel seeking immediate response.

Weapon detection Identify guns & arms in real-time using AI-powered video analysis. It gathers video/image data & analyzes them, detecting potential threats quickly. It triggers an alert with automatic weapon detection.

Fight detection Any suspicious human behavior around public spaces like fighting is detected on camera & analyzed in real time. AI Video Analytics for smart city security triggers alerts immediately during such events.

Cell phone usage while driving Using the AI software traffic officers can keep track of drivers using cellphones while driving, one of the major reasons for mass accidents. As a traffic violation, the traffic management team can charge them & ensure safety on the road.

Cleanliness monitoring with AI for smart city

Garbage detection As part of waste management in urban planning, garbage detection is crucial for maintaining hygiene across the city. It automatically notifies as soon as garbage is detected across locations under surveillance.

Dustbin overflow detection Detects the size of the garbage in the bin and identifies the overflow. AI video analytics helps in managing waste in urban cities.

Water flow detection During monsoons, early detection of water flow can bring in a change across smart cities managing overall water flow due to heavy rain.

From creating a safer city infrastructure to improving security compliances, computer vision AI improves traffic management & enhances public safety with real-time surveillance. Benefits of computer vision AI for smart city For people For g overnment Computer vision algorithms can analyze patterns from real-time camera feeds potentially detecting accident-prone zones. It helps city planners in optimizing traffic lights & improving road operations.

CONTACT US FOR MORE DETAILS Phone number +91 80883 21887 Email [email protected] Website https://visionfacts.ai/