Real-Time Detection
Continuously detects pedestrians in real-time video streams, making it suitable for dynamic environments.
Continuously detects pedestrians in real-time video streams, making it suitable for dynamic environments.
Uses powerful object detection algorithms (e.g., YOLO, HOG + SVM) for precise and fast pedestrian identification.
Built with OpenCV for handling video input and image processing, ensuring smooth frame-by-frame analysis.
Can track pedestrian movement across multiple frames, making it ideal for surveillance and monitoring systems.
Fully developed AI/ML models that are ready for immediate deployment.
Flexible code that allows easy customization to fit your business needs.
Designed to scale efficiently as your data and operations grow.
Easily integrate with your existing systems and infrastructure.
Complete access to the source code for further development or adjustments.
Built with security protocols and best practices for safe deployment.
Comprehensive guides and instructions for setup and usage.
Includes post-deployment technical support to assist with any challenges.
NextGen AI Frameworks Private Limited,
B-17, Wing 2, Second Floor,
Jhilmil Industrial Area, Shahdara,
Delhi – 110095, India
NextGen AI Frameworks Private Limited,
B-17, Wing 2, Second Floor,
Jhilmil Industrial Area, Shahdara,
Delhi – 110095, India
CIN: U62099DL2023PTC419965
GSTIN: 07AAJCN1261A1ZX
MSME: UDYAM-DL-02-0072416
Phone:+911145629656,+919625444816
Timings: Monday to Friday, 11 AM to 6 PM
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