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- Powered by AI and guided by 2D/3D vision
- Eliminates the need for Bluetooth, RFID and others
- Elevates visibility and safety in retail, transportation and others.
- Built along with several other industry partners
- Modular design to allow for scaling on demand
- Operates in real-time or on recorded videos
- Built-in analytics for offline-visualization
- Configuration module for end-user
management. - Auto-alert with multiple actions (audio, SMS, etc.).
- Easy and straightforward implementation
- Integrations with most 2D/3D cameras.
- Requires no change to the existing surveillance camera network.
- Ability to store images for later retrieval and review.
Maintaining Accurate Account of People and Items, In Public Transportation and Open Space Facilties
About Condor
Condor is a vision-based real-time people detection, tagging and tracking algorithm that can be used in a variety of crowd monitoring applications across transportation, logistic, aviation, security and others. Condor has been used to count passengers’ onboard trains and buses, maintain account of crew and workers in airplanes and to prevent access to restricted industrial zones.
Why Condor
There’s a growing demand for maintaining account of people in open and closed spaces, in real-time, and for a variety of marketing , safety, security as well as logistics purposes and for providing a detailed picture of what’s happening in stores, factories and stations. Reliance on traditional counting techniques using Bluetooth and WIFI has shown to produce inaccurate results for the obvious reasons…not everyone has a Smartphone or WIFI enabled.
Unique Edge
Many commercial systems for crowd management applications including automatic people counting systems (APC) suffer from several drawbacks including vulnerability to poor lighting, body obstructions as well as double counting. DeepTrace was designed and developed to overcome the limitation in traditional systems using the state-of-art AI and deep learning techniques.
Unique Features
Potential Applications
Condor Applications
Powered by AI that leverages 2D and 3D data, DeepTrace works behind the scenes to bring situational awarness, automate survillance and cut cost.
Staff Access Control
Through Condor, people and personnel wearing distinct uniforms are recognized, tagged and tracked to control movement through restricted areas and to prevent unauthorized access to designated facilities, reducing thereby the risk of security breaches and protecting areas of high sensitivity.
Tracking People Movements
Keeping account of people crossing manually across access points such as turnstile, checkpoints and others, train and subway system, could be a daunting task even through areas monitroed by survillance cameras, and Condor provides an effective means for automating movements tracking across these points.
Managing Crowded Queues
crowdedness in open spaces often leads to chaos that can affect customer service operation and quality. With Condor, a customer queue can be harmonized with service personnel by monitoring the queue length and service area occupancies resulting in a shorter waiting time and an improved customer satisfaction.
Unique Characteristics
- Accurate counting of passengers, bicycles and personal items.
- Overcomes the traditional limitation of APC systems such as double counting
- Unaffected by body/head occlusion such as umbrellas and head covers
- Works under all lighting conditions including brightness and dim lighting
- Low-latency and zero-calibration requirement
- Bundled in a ruggedized hardware to sustain high temperature, humidity and dust
Condor In Action
Automatic Passengers Counting
Ensuing accurate count of people inside the bus at any given point on a designated route is of utmost importance to Transit Agencies not only for compliance to regulatory guidelines but also for immediate visibility and future data-driven projections. In addition, through real-time live occupancy counts, one can see exactly how many people are on each bus and help keep within social distancing rules and recommendations.
Condor for Automatic Passengers Counting is an integrated system consisting of a 2D/3D camera mounted inside the bus, an edge computing unit, and a data transmission gateway. The system is fully enclosed inside the bus, preserves people anonymity. It also requires no up-front investment in training and can be configured to meet the needs for any remediation actions that may be necessary such as an audio alert. In addition, the count data can be transmitted to a mobile device using the gateway unit to alert the driver, for example, in case a congestion threshold is reached.
Condor In Action
Passengers Queuing Management
CONDOR for Passengers Queuing Management is a real-time, AI-powered crowd analytics solution designed for airports and high-traffic environments. Using advanced Vision AI fused with RGB and 3D cameras, it accurately tracks passenger flow, queue lengths, and wait times—without relying on facial recognition, smartphones, or biometrics. The system provides live insights to proactively manage congestion, optimize staffing, and balance workloads, all while maintaining full GDPR compliance. Easily integrable with existing infrastructure, CONDOR transforms static video feeds into intelligent data streams that help airports boost efficiency, elevate service, and deliver smoother, smarter passenger journeys.
Unique Characteristics
- Accuracy exceeds 95%, Detection rate of 17 FPS or 50 ms
- Ability to detect and track individuals throughout the airport.
- Ability to accurately localize and track people in large crowds – unlike LIDAR
- Ability to exclude staff through classification with prior training.
- Works with various body poses and orientations and immune to poor lighting conditions.
- Operate in real-time or on recorded videos.
- Compatible with most commercial 2-D surveillance video cameras
- Optimal performance on 3D stereoscopic cameras.
- Fully GDPR-compliant – No use of personal data.
Key Metrics Extracted
