Author: VP-justas

Real-time AI Video Analytics for Trams and Tram Depots

Real-time AI Video Analytics for Trams and Tram Depots

tram infrastructure Challenges and the Role of ai Urban tram infrastructure faces growing pressure from higher passenger counts, denser networks, and expanding CCTV coverage. Also, operators must manage huge volumes of video footage, which makes manual review impossible at scale. Next, track obstructions and equipment faults appear suddenly, and they can cause service disruption if […]

Left-Behind Object Detection Algorithm in Metro Systems

Left-Behind Object Detection Algorithm in Metro Systems

object detection in metro systems: challenges and scope Left-behind items in dense metro stations pose safety and service risks. For example, a personal bag left on a platform can block flow, delay trains, and trigger evacuations. Additionally, unattended bags sometimes contain hazardous materials, so rapid alerting matters for passenger safety. Also, crowded platforms change how […]

Crowd density analytics and simulation for metro concourses

Crowd density analytics and simulation for metro concourses

Railway station crowd density: metrics and thresholds Monitoring passenger volumes in concourses starts with simple metrics. First, count entries and exits to measure number of passengers per hour. Next, convert those counts to passenger density by dividing counts by usable floor area. For safety teams, a single figure can change operations. For example, urban rail […]

Escalator incident detection with cameras via AI video

Escalator incident detection with cameras via AI video

escalator: Safety Statistics and Incident Overview Escalator incidents create real safety challenges in busy public spaces. Data from recent studies shows escalator-related injuries can reach about 10–15 incidents per 100,000 rides in crowded urban hubs, and that number guides where to focus prevention efforts 10–15 incidents per 100,000 rides. Falls, entrapment of footwear or clothing, […]

Platform edge AI safety detection for real-time compliance

Platform edge AI safety detection for real-time compliance

How Edge AI Enables Real-Time Detection to Enhance Worker Safety Also, then, next, furthermore, edge AI means on-device AI processing that analyses video and sensor feeds without relying on cloud services. Also, then, next, furthermore, this approach delivers immediate detection and response. Also, then, next, furthermore, systems process data on-site to cut latency. Also, then, […]

AI video analytics for metro stations

AI video analytics for metro stations

AI and video surveillance in metro stations: global technology trends AI and video surveillance now converge across public transport to create smart, responsive systems. AI refers to algorithms that learn patterns from data. Video surveillance means cameras and recording equipment. Together they form an analytics system that can capture and analyze video data in real […]

Milestone XProtect AI for rail operators: Video analytics

Milestone XProtect AI for rail operators: Video analytics

milestone xprotect Open-Platform VMS for Rail milestone XProtect serves as a powerful video management software option for rail operators who need scale and flexibility. It handles camera fleets, archives video used across sites, and ties feeds into operational dashboards. The platform runs on an open architecture. As a result, operators can mix camera brands, integrate […]

AI video analytics for ticket hall queue via CCTV

AI video analytics for ticket hall queue via CCTV

Queue video analytics with existing CCTV: an introduction Ticket halls grow busy, and operators face daily pressure to manage flow and reduce friction. AI transforms how teams see crowds and act. By converting existing CCTV into sensors, operators get structured events, and teams can act faster. Visionplatform.ai turns cameras into a real-time operational feed so […]

Real-time left-behind luggage detection at stations

Real-time left-behind luggage detection at stations

detection system and computer vision: camera-based object detection First, stations rely on camera networks to form a practical detection system that watches platforms and concourses. Stations like train stations use many camera angles, and feeds run continuously. In practice, a surveillance camera can turn a passive CCTV feed into actionable events, and this transforms how […]

Real-Time Trespass Detection on Railway Tracks

Real-Time Trespass Detection on Railway Tracks

Trespass Patterns: Assessing Incidents and Data Trespass on railroad property contributes to a large share of rail-related deaths, and the numbers underline the scale of the problem. For example, in 2018 there were 841 rail-related fatalities in the United States, and 541 of those were due to trespass; this statistic highlights that about 64% of […]

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