We are building an AI-powered vision application using images, videos, cameras into real-time intelligence systems capable of perception, analysis, and action.
By combining computer vision, video analytics, and edge AI, we enable automation, safety monitoring, and data-driven decision-making across industrial, commercial, and public environments.

We work with LiDAR-based systems to capture, process, and analyze high-precision 3D spatial data for perception, mapping, and automation use cases. Our experience includes handling raw LiDAR point clouds, noise filtering, segmentation, and object-level analysis to build accurate representations of real-world environments. We leverage point cloud processing libraries, 3D geometry techniques, and machine learning pipelines to enable applications such as 3D mapping, obstacle detection, terrain modeling, and sensor fusion with cameras. Our LiDAR workflows are designed to be scalable, real-time capable, and adaptable across autonomous systems, robotics, industrial inspection, and smart infrastructure projects.

Built Automatic Number Plate Recognition (ANPR) systems for real-world traffic and surveillance use cases including traffic management, toll collection, parking systems, and law enforcement. Our ANPR solutions leverage computer vision and OCR to accurately detect, recognize, and track vehicle number plates in real time across varying lighting, weather, and camera conditions.

We have developed custom NVR and DVR systems using Raspberry Pi and embedded platforms, tailored for edge deployment and low-power environments. These systems handle video ingestion, storage, streaming, and analytics directly on-device, enabling cost-effective and scalable video infrastructure for industrial and surveillance applications. It helped to save overall material cost.

We build AI-powered defect detection systems for industrial inspection and quality control. Using computer vision and deep learning, our solutions automatically identify surface defects, shape anomalies, missing components, and production flaws in real time, helping reduce manual inspection, minimize waste, and improve overall manufacturing efficiency.

We have configured and optimized RTSP-based video networks across LAN and WAN environments. Our work includes camera networking, stream optimization, bandwidth management and secure video transport to ensure reliable, low-latency video delivery for analytics and monitoring systems.

We design and manage websites and operational portals, including WordPress-based platforms and custom web applications. These portals serve as control layers for vision systems, analytics dashboards, reporting tools, and system configuration interfaces used by operators and administrators. Technologies involve web, CMS, HTML, React, NodeJS, MERN, RESTAPI, WordPress, GraphQL and databases.

We have implemented OCR systems for extracting structured data from images and video streams, including license plates, labels, documents, and signage. Our OCR pipelines are optimized for real-time performance and high accuracy in industrial and surveillance scenarios.

We implemented automation pipelines where visual events trigger real-world actions. From alerts and notifications to system integrations and rule-based responses, our solutions enable event-driven automation that transforms visual insights into operational outcomes.