Outsight
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About
Outsight is an enterprise-grade Spatial AI software platform designed to transform raw 3D data from LiDAR sensors into actionable intelligence. By creating Motional Digital Twins, the platform allows organizations to monitor the physical flow of people, vehicles, and goods in real-time. Unlike traditional camera-based computer vision, the technology utilizes laser light to detect, track, and classify objects. This approach captures spatial data without identifying facial features or license plates, which facilitates compliance with privacy regulations such as GDPR. The platform consists of three primary software components: Shift Perception, Shift Analytics, and Shift Simulator. Shift Perception acts as the core engine, processing massive amounts of raw 3D data into tracked objects with high precision. Shift Analytics enables users to define specific zones for monitoring behavior, setting real-time alerts for overcrowding or unauthorized access, and generating long-term performance indicators. The Shift Simulator provides a multi-vendor environment for infrastructure planning, allowing operators to test sensor placement and coverage before physical installation occurs. The software is characterized by its LiDAR-agnostic design, supporting hardware from various manufacturers and merging data from different sensor models. The solution is intended for infrastructure operators and managers of high-traffic environments, including airports, smart cities, industrial sites, and healthcare facilities. It is used by organizations that require spatial tracking where video surveillance might present privacy or lighting challenges. Documented deployments include major projects at Dallas Fort Worth International Airport and partnerships with groups like Stellantis and Groupe ADP. The company holds 73 patents and draws on two decades of experience in the business of real-time LiDAR processing. In practice, the system is designed for relatively rapid deployment. Automated calibration and synchronization tools are intended to reduce the setup time compared to traditional manual configurations. The architecture supports both Edge and Cloud processing to manage network costs and scalability requirements. By providing detailed data on visitor movement and queue behavior, the platform assists operators in adjusting workforce allocation and managing throughput in retail or service areas.
Pros & Cons
Hardware agnostic support allows merging sensors from different LiDAR manufacturers.
Native privacy compliance as the laser technology does not capture facial or identification data.
Verified accuracy of up to 99% in tracking and classification metrics.
Rapid deployment capabilities through automated calibration and synchronization tools.
Scalable architecture capable of tracking billions of 3D objects across large venues.
Requires initial investment in LiDAR hardware as the product is a software platform.
Public pricing is not available and requires a direct inquiry with the sales team.
Implementation may require specialized systems engineering knowledge for complex site setups.
Use Cases
Airport operators can monitor passenger flow and queue times to reduce bottlenecks and increase retail revenue.
Smart city planners can optimize intersections by tracking vehicle and pedestrian movements in all lighting conditions.
Logistics managers can automate truck load computation and track movement of goods to improve operational efficiency.
Security professionals can manage overcrowding and detect unauthorized access without violating individual privacy rights.
Infrastructure planners can use simulations to determine the most cost-effective sensor placement for large-scale venues.
Platform
Task
Features
• real-time object classification
• motional digital twin generation
• gdpr-compliant anonymous monitoring
• automated sensor synchronization
• lidar hardware agnostic support
• shift simulator for deployment planning
• shift analytics behavioral insights
• shift perception real-time processing
FAQs
What are the advantages of LiDAR in comparison to cameras?
LiDAR uses laser light that does not recognize faces or license plates, ensuring privacy by definition. It also provides high accuracy in any lighting condition and captures precise 3D data.
Is it possible to integrate data from sensors of different LiDAR manufacturers?
Yes, Outsight is LiDAR agnostic and compatible with all relevant hardware. This allows users to combine sensors from different manufacturers within a single software environment.
Does the software operate on the Edge or is it Cloud-based?
The platform utilizes both Edge and Cloud architectures. This hybrid approach is designed to minimize network and setup costs while ensuring system scalability.
What is the reported accuracy of the Outsight system?
Independent third-party audits have verified an accuracy rate of up to 99% in critical metrics. The system maintains high precision for object detection and classification.
Can the system be used to plan a new venue setup?
Yes, the Shift Simulator allows users to simulate any LiDAR sensor and plan the layout of large premises. This helps determine optimal sensor placement before physical installation.
How quickly can the system be deployed?
The platform is designed for fast deployment, often becoming operational in hours. It includes automated tools for calibration and synchronization of the sensor network.
Can I use the tracked data with my own dashboard?
Yes, Outsight provides KPI data that can be used with external dashboards. The software supports open and standard data formats for seamless integration.
Pricing Plans
Enterprise
Unknown Price• Real-time 3D object tracking
• Multi-vendor LiDAR fusion
• Automated calibration
• Spatial analytics
• GDPR-compliant monitoring
• LiDAR simulation tools
• Edge and Cloud architecture
• Object classification
Job Opportunities
There are currently no job postings for this AI tool.
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