Invision AI
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About
Invision AI provides advanced computer vision software designed to transform how infrastructure operators monitor and manage traffic and passenger flow. By leveraging patented neural network technology, the platform offers high-integrity image understanding that goes beyond traditional 2D analytics. Its primary goal is to empower smart cities and transportation agencies to unlock revenue through accurate tolling, improve safety through real-time incident detection, and promote green mobility by optimizing energy use in highway lighting. The software is designed to integrate with existing camera infrastructure, providing actionable insights from complex visual data. The suite consists of three core products: iVOD, iAID, and iFlow. iVOD (Vehicle Occupancy Detection) uses AI to count passengers inside vehicles at high speeds and in varied weather conditions, which is crucial for HOT and HOV lane enforcement. iAID (Automatic Incident Detection) provides geo-localized anomaly detection with a focus on minimizing false alerts, allowing for automated responses like adaptive highway lighting. iFlow tracks movements from origin to destination across a collaborative mesh of multiple cameras, providing detailed metrics such as vehicle classification, dimensions, speed, and acceleration. The platform is specifically tailored for government transportation departments, railway operators, and private tolling agencies. It addresses critical infrastructure challenges like reducing congestion in rail stations, recovering lost revenue from toll violations, and enhancing safety at railway level crossings. Because the software is designed to be privacy-preserving, it is suitable for use in public spaces where data protection is a primary concern. Its ability to provide 3-D awareness from a single camera source significantly reduces the complexity and cost of deploying high-level vision analytics. What sets Invision AI apart is its sophisticated collaborative mesh technology and its roots in high-level academic research into neural networks. While many systems struggle with 2D limitations and high false-positive rates, Invision’s patented solutions maintain industry-leading accuracy across diverse environmental conditions. Additionally, its focus on "seeing and understanding" allows it to integrate seamlessly into complex ecosystems, such as triggering LED dimming on over 200km of highway to achieve energy savings of up to 75% without compromising safety.
Pros & Cons
Provides 3D awareness from a single camera source for better spatial understanding.
Maintains high accuracy in vehicle occupancy detection across all weather conditions.
Supports collaborative camera meshes to track objects across large infrastructure areas.
Enables significant energy savings through safety-backed adaptive highway lighting.
Reduces violation rates in HOV lanes from 90% to near zero in real-world deployments.
Information regarding hardware requirements for off-the-shelf cameras is not specified.
No public pricing information is available for the various software modules.
System implementation likely requires professional setup for multi-camera collaborative meshes.
Use Cases
Highway operators can use iVOD to automate tolling for High Occupancy Toll (HOT) lanes, reducing revenue leakage from violators.
Transit authorities can deploy iFlow in railway stations to analyze passenger trajectories and increase capacity by optimizing guiding elements.
Roadway operators can implement iAID to detect anomalies in real-time, allowing for safe dimming of highway lights to reduce energy costs.
Railway network managers can use iFlow and iAID at level crossings to reduce wait times and receive alerts on safety encroachments.
Traffic planners can utilize iFlow to classify vehicle types and measure speed and acceleration across multiple lanes for infrastructure planning.
Platform
Features
• privacy-preserving ai
• real-time geo-localized alerts
• vehicle classification and dimensioning
• collaborative multi-camera mesh
• 3d awareness from single cameras
• origin to destination tracking (iflow)
• automatic incident detection (iaid)
• vehicle occupancy detection (ivod)
FAQs
How does iVOD maintain accuracy in poor weather?
The iVOD system uses patented AI algorithms designed to count passengers in all weather conditions. It is optimized to perform at high speeds while maintaining industry-leading accuracy for occupancy-based tolling applications.
Can the system track vehicles across different camera views?
Yes, the iFlow product utilizes a collaborative mesh of multiple cameras to provide origin-to-destination tracking. It provides a real-time situational analysis of spaces by combining data from standard off-the-shelf cameras.
Does Invision AI protect passenger privacy?
Privacy preservation is a core design principle of the software. The platform is built to see and understand scenes for data insights without compromising the privacy of individuals or vehicle occupants.
What kind of vehicle data does the system collect?
Beyond simple counting, the system classifies vehicles and estimates specific physical attributes. This includes accurate measurements for height, width, length, speed, and acceleration for detailed traffic analysis.
Can iAID be used to automate highway lighting?
Yes, it is currently used on a 200km highway stretch to enable adaptive lighting. The system detects incidents in real-time, allowing operators to safely dim LED lights and save up to 75% in energy costs.
Job Opportunities
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