Falcon-I
AI Platform For Smart Spaces
a. Smart Intersection & Protected Zones
Falcon-I’s smart intersection application leverages computer vision and artificial intelligence technologies to detect violations and monitor vehicles at intersections in real-time. By utilizing CCTV camera feeds and applying advanced AI algorithms, the application offers a range of valuable intersection-related information and functionalities to enhance and ensure smooth flow of traffic.
The application also provides real-time waiting time at signals, allowing operators to monitor the duration that vehicles spend waiting at traffic signals. Additionally, another important feature is the detection of yellow box violations. Falcon-I can identify where vehicles enter or block the yellow box, which is typically marked at intersections to ensure proper traffic flow. The application can generate alerts or notifications when yellow box violations occur, enabling authorities to help maintain smooth traffic operation.
b. Smart Parking
Smart Parking is an AI (artificial intelligence) based system which supports parking management and monitoring. This is done by applying advanced algorithms on CCTV cameras, to detect and count vehicles in parking spaces (both on/off-street parking). This significantly helps and provides parking’s utilization information using a web portal.
The web portal has various advanced capabilities, such as reporting and real-time alerts. The users of the system will be able to receive alerts if any of the parking’s capacity exceeds specific utilization percentage, all in an automatic manner.
During the Qatar 2022 World Cup, this digital parking system was deployed across all 8 stadiums and 3 major park and ride locations in Doha. This intelligent system provided organizers with a great deal of insights into parking utilization and real-time occupancy levels on match days and throughout the tournament. This was a critical system that supported parking and mobility operations around stadium, which was integrated with the main operations control center of the tournament.
c. Traffic & Road Incidents
Falcon-I focuses on utilizing advanced computer vision and artificial intelligence (AI) algorithms developed by QMIC to enable automatic traffic monitoring and road incident detection. This application leverages CCTV camera feeds to analyze the traffic conditions and identify various parameters in real-time.
Congestion Detection
By analyzing the video feeds from CCTV cameras, the system can identify areas of high traffic congestion. It can detect the presence of slow-moving or stationary vehicles, long queues, and areas where traffic flow is significantly impeded. This information helps road operators and authorities to take timely action, such as adjusting signal timings or rerouting traffic, to alleviate congestion and improve traffic flow.
Queue Length Detection
One of the key capabilities of this application is providing queue length information. By analyzing the video streams and computer vision algorithms, the application can detect and measure the length of vehicle queues at intersections. This information is important for traffic management and allows authorities to assess the severity of congestion, make informed decisions regarding traffic signal timings, and implement appropriate measures to enhance the efficiency of traffic movement.
Incidents/Accidents
Using the computer vision and AI algorithms, the application can identify unusual events such as collisions, vehicle breakdowns, or other incidents that require immediate attention. When an incident is detected, Falcon-I can generate alerts and notifications for road operators, enabling them to respond promptly and deploy appropriate resources such as emergency services or roadside assistance.
d. Crowd Counting & Analysis
Large crowd counting is a technology that utilizes computer vision and image processing techniques to estimate the number of people within a crowd or a specific area. It plays a significant role in various applications, including crowd management, event planning, security, and resource allocation.
The system uses cameras or sensors to capture images or video footage of the crowd. Advanced algorithms analyze the visual data to detect and track individuals, allowing for the estimation of crowd size. These algorithms can handle complex scenarios, accounting for occlusions, varying densities, and movement patterns within the crowd.
Large crowd counting offers several benefits. It provides valuable information for crowd management and safety planning, helping organizers allocate resources effectively and ensure the smooth flow of people in crowded environments. It can assist in optimizing staffing levels, queue management, and emergency preparedness.
e. Retail
Accurately tracking and analyzing pedestrian traffic using advanced technologies like computer vision and AI can provide valuable insights for optimizing urban planning and enhancing pedestrian safety. Here’s how it can be achieved:
- Pedestrian Tracking
- Crowd Flow Analysis
- Hotspot Identification
- Safety Assessment
- Predictive Modeling
- Accessibility Analysis
- Data-Driven Decision Making
- Simulation and Visualization
f. Arial Image Analysis
Aerial image analysis using drones involves the utilization of unmanned aerial vehicles (UAVs) equipped with cameras or sensors to capture high-resolution images or data from an elevated perspective. These images are then processed and analyzed using computer vision and remote sensing techniques to extract valuable information. Here are some key aspects of aerial image analysis using drones:
- Data Collection
- Mapping and Surveying
- 3D Modeling
- Environmental Monitoring
- Precision Agriculture
- Infrastructure Inspections
- Emergency Response and Disaster Management
- Environmental Conservation and Wildlife Monitoring
- Construction and Site Monitoring
- Real Estate and Marketing
g. Platform Flexibility
On Premise
Deployment and management of software, infrastructure, and data within at physical premises
Cloud
Implementing and hosting applications, services, and infrastructure on cloud computing platform
Edge
Bringing computing resources closer to the data source, enabling low latency, offline operation, and real-time processing
h. Qatar 2022 World Cup
We are incredibly proud to have played a pivotal role in supporting the highly anticipated Qatar 2022 World Cup by delivering our cutting-edge Falcon-I solution in partnership with local organizers. With this state-of-the-art technology, we helped decision makers efficiently manage the parking lot capacity across the eight stadiums and multiple “Park & Ride” lots associated with the event.
Our Falcon-i solution provided operators with comprehensive visibility into parking lot capacity, allowing them to proactively manage and allocate parking lots based on demand. The system’s advanced features, including real-time monitoring, predictive analytics, and automated reporting, enabled decision makers to stay one step ahead in managing the complex parking requirements of the World Cup.
Our commitment to innovation, reliability, and customer satisfaction sets us apart, and we are dedicated to continuously revolutionizing our support for mega events via our cutting-edge technologies.
