Revolutionizing Web-GIS Development: How a Structured Approach and Collaborative Figma Design Can Drive Success
Revolutionizing Web-GIS Development: How a Structured Approach and Collaborative Figma Design Can Drive Succes In…
At GIS Kernel, we leverage geospatial technologies to develop solutions for urban mobility issues in the cities and make informed decisions.
Transportation industry has undergone several changes in the past decades and building an intelligent transport system using GIS is a dynamic process that involves continuous data collection, analysis, and optimization. By leveraging GIS technology and integrating real-time data, cities and transportation authorities can enhance mobility, reduce congestion, and improve the overall transportation experience for residents and visitors.
Using GIS, we can visualize the routes and their interaction with the surrounding environment. It is ideal for designing routing networks with hazardous cargo routes, overweight/oversized vehicle routes and general public routes.
GeoAI-powered face detection and head pose estimation technology can alert drivers when fatigued or drowsy, preventing crashes and deaths.
Since monitoring every single camera for unforeseen incidents is difficult, GeoAI is used to monitor and automatically detect incidents such as accidents, stalled vehicles and unusual traffic conditions. Location addresses can be used to raise alarms to emergency responders.
Computer Vision and GIS can help maintain a real-time inventory of parked vehicles, measure the time they are parked, and identify available parking spots. In addition, a web application would guide drivers to available spaces
GeoAI can detect changes/damages, such as cracks or potholes on assets such as roads, pavements and bridges. This no longer requires citizens to report damages. It allows relevant authorities to take action and improve road maintenance.
Analyzing the supply and demand traffic attributes using GeoAI explains why traffic exists in a location and allows prediction of transport demand. Integrating citizen data can give better planning of routes and predict demand
GeoAI
In Accident Detection
Computer Vision
Based Parking Management
Web Application
For Smart Traffic Management
Revolutionizing Web-GIS Development: How a Structured Approach and Collaborative Figma Design Can Drive Succes In…
Harnessing Uber’s H3 Spatial Indexing System H3, developed by Uber, is a spatial indexing system…
El Niño, La Niña, and the Urban Heat Island Effect: Understanding the Interconnected Climate Dynamics…