+
Kolkata Police to use artificial intelligence to scan CCTV images
ROADS & HIGHWAYS

Kolkata Police to use artificial intelligence to scan CCTV images

The Kolkata Police plans to use artificial intelligence (AI) powered software to verify CCTV images to identify real-time offenders, including helmetless bikers and vehicles illegal parking.

Currently, there are 2,500 CCTV cameras in the city, out of which 125 can read licence plates.

The Kolkata Police has asked the technological experts for a detailed presentation for understanding machine learning tools, which are to be used to identify helmetless bikers and illegal parking.

Last year, around 7.3 lakh traffic rules violations were detected through CCTV footage, out of which 39.4 lakh were recorded in Kolkata.

Many private firms and academic institutions are also working on projects to identify helmetless bikers and their licence plates in real-time in Kolkata. Technology is being explored to reduce risk to officers who physically try to stop these vehicles at their own risk.

Police also want to detect illegal parking and track vehicle licence plate locations.

The AI software will be installed in the number plate-reading road cameras, on the servers of Lalbazar police control rooms, and in the central control room. It can be achieved by embedding a card into CCTV cameras. When these cameras detect vehicles in no-parking zones, they will send alerts through artificial image recognition and processing solutions. It can be implemented in real-time via a webcam or a CCTV camera.

IIT Hyderabad has developed an AI system to detect helmetless bikers in CCTV footage. The Hyderabad City Police signed an agreement with the institution to access the footage.

For detecting illegal parking of vehicles, the system will use an IP camera to capture and transfer images to the police. The software will be used to perform automatic image feature extraction.

The AI software is resistant to environmental effects such as shadow effects, illumination changes and weather conditions. These systems can issue challans. The AI system will be a fully automatic web interface for monitoring and verifying alerts, which is then linked to the existing website to generate challans and send SMS to the bikers.

Image Source

The Kolkata Police plans to use artificial intelligence (AI) powered software to verify CCTV images to identify real-time offenders, including helmetless bikers and vehicles illegal parking. Currently, there are 2,500 CCTV cameras in the city, out of which 125 can read licence plates. The Kolkata Police has asked the technological experts for a detailed presentation for understanding machine learning tools, which are to be used to identify helmetless bikers and illegal parking. Last year, around 7.3 lakh traffic rules violations were detected through CCTV footage, out of which 39.4 lakh were recorded in Kolkata. Many private firms and academic institutions are also working on projects to identify helmetless bikers and their licence plates in real-time in Kolkata. Technology is being explored to reduce risk to officers who physically try to stop these vehicles at their own risk. Police also want to detect illegal parking and track vehicle licence plate locations. The AI software will be installed in the number plate-reading road cameras, on the servers of Lalbazar police control rooms, and in the central control room. It can be achieved by embedding a card into CCTV cameras. When these cameras detect vehicles in no-parking zones, they will send alerts through artificial image recognition and processing solutions. It can be implemented in real-time via a webcam or a CCTV camera. IIT Hyderabad has developed an AI system to detect helmetless bikers in CCTV footage. The Hyderabad City Police signed an agreement with the institution to access the footage. For detecting illegal parking of vehicles, the system will use an IP camera to capture and transfer images to the police. The software will be used to perform automatic image feature extraction. The AI software is resistant to environmental effects such as shadow effects, illumination changes and weather conditions. These systems can issue challans. The AI system will be a fully automatic web interface for monitoring and verifying alerts, which is then linked to the existing website to generate challans and send SMS to the bikers. Image Source

Next Story
Infrastructure Transport

Lucknow Metro East-West Corridor Consultancy Contract Awarded

The Uttar Pradesh Metro Rail Corporation has awarded the first construction-related consultancy contract for the Lucknow Metro East West Corridor to a joint venture of AYESA Ingenieria Arquitectura SAU and AYESA India Pvt Ltd. The firm was declared the lowest bidder for the Detailed Design Consultant contract for Lucknow Metro Line-2 under Phase 1B and the contract was recommended following the financial bid. The contract is valued at Rs 159.0 million (mn), covering design services for the corridor. Lucknow Metro Line-2 envisages the construction of an 11.165 kilometre corridor connecting Cha..

Next Story
Infrastructure Urban

Div Com Kashmir Urges Fast Tracking Of Jhelum Water Transport Project

The Divisional Commissioner of Kashmir has called for the fast-tracking of the Jhelum water transport project, urging district administrations and relevant agencies to accelerate planning and clearances. In a meeting convened at the divisional headquarters, the commissioner instructed officials from irrigation, public health engineering and municipal departments to prioritise the project and coordinate survey and design work. The directive emphasised removal of administrative bottlenecks and close monitoring to ensure timely mobilisation of resources and contractors. Officials were told to in..

Next Story
Infrastructure Urban

Interarch Reports Strong Q3 And Nine Month Results

Interarch Building Solutions Limited reported unaudited results for the third quarter and nine months ended 31 December 2025, recording strong revenue growth driven by execution and a robust order book. Net revenue for the third quarter rose by 43.7 per cent to Rs 5.225 billion (bn), compared with Rs 3.636 bn a year earlier, reflecting heightened demand in pre-engineered building projects. The company’s total order book as at 31 January 2026 stood at Rs 16.85 bn, supporting near-term visibility. EBITDA excluding other income for the quarter increased by 43.2 per cent to Rs 503 million (mn),..

Advertisement

Subscribe to Our Newsletter

Get daily newsletters around different themes from Construction world.

STAY CONNECTED

Advertisement

Advertisement

Advertisement

Open In App