C-IVISS is a compact, portable car scanner designed to enhance security at high-risk locations. Strategically placed on the road surface, it captures clear, high-resolution images of a vehicle's underside as it passes over—helping security personnel detect hidden illegal or dangerous items like contraband, explosives, or weapons.

Engineered for fast deployment and ease of use, C-IVISS is ideal for critical environments such as military zones, border checkpoints, government facilities, and critical infrastructure. It combines portability with advanced imaging to offer a reliable and non-intrusive solution for vehicle screening, ensuring that safety is never compromised.

Key Features

Ultra-High Resolution Imaging
Captures detailed images of the vehicle’s underside with clarity down to 1 mm—every nut, bolt, and anomaly is visible.
High-Speed Capture
Equipped with a camera capable of recording at up to 900 frames per second, it ensures nothing is missed—even at vehicle speeds of up to 15 mph.

Sample under-vehicle scan recorded at 900 FPS - Click to zoom

Real-Time Image Generation
Instantly processes and displays undercarriage images as the vehicle passes—no delays, no waiting for results.
Compact & Portable Design
Lightweight and fully portable—no special installation or infrastructure required. Deploy it anywhere, anytime.
Patented Minimalist Engineering
Proprietary design significantly reduces the size and weight of the scanner, making it ideal for rapid setup and relocation.

MATLAB Simulation of Curved Mirror System

MATLAB simulation of the custom curved mirror system for under-vehicle imaging - Click to zoom

USA Patent Number: US20210235015A
View Patent

My Responsibilities

Hardware Development

Selected and integrated a machine vision camera and lens tailored to meet high-resolution and frame-rate requirements.
Designed a custom curved mirror system by developing an optical simulation in MATLAB—optimized the mirror parameters for maximum under-vehicle coverage while minimizing the scanner’s physical footprint.
Integrated supporting sensors and electronics to enable automatic detection and triggering of vehicle scans.

Software Development

Developed a robust image stitching algorithm to produce a seamless, continuous image of the vehicle’s underside.
Optimized the stitching algorithm for high-speed processing (900 fps), implementing a parallel version on multi-core CPUs and NVIDIA Jetson using CUDA.
Created foreign object detection algorithms to automatically identify suspicious or unauthorized attachments under vehicles.