Astral Mantra Labs builds custom computer vision pipelines — inspection, monitoring, OCR, document AI, video analytics, and 3D — that survive real-world lighting, real-world data, and real users. Nepal's AI studio, shipping production-grade vision systems in 6–14 weeks for clients in Nepal and worldwide.
Computer vision AI is the practice of using machine learning models to extract structured information from images, video, and 3D data. Modern computer vision uses deep neural networks — convolutional and increasingly transformer-based — that learn to detect objects, classify scenes, read text, segment regions, track motion, and reason about depth.
The category covers a wide spectrum: factory and on-site inspection, security and safety monitoring, document and form processing, medical imaging triage, retail shelf analytics, sports and fitness analytics, vehicle and licence-plate recognition, and 3D reconstruction from photos or video. The common thread is turning pixels into decisions.
Defect detection on production lines, on-site safety compliance, infrastructure inspection from drone or fixed cameras.
Read invoices, receipts, ID documents, contracts. Extract structured fields, classify, route. Multi-language including Nepali and Devanagari script.
Footfall, occupancy, dwell time, queue length, person and vehicle counting from existing CCTV feeds — without replacing your hardware.
Trained on your domain — products on a shelf, vehicles on a road, equipment in a yard, livestock on a farm.
Photogrammetry, depth estimation, NeRFs, point-cloud processing, AR/VR pipelines, and digital-twin generation from photo sets.
Action recognition, anomaly detection, multi-object tracking, sports analytics, gesture recognition.
Every production vision system we ship is built on the same engineering layers, scaled to the project's complexity:
6 weeks for a focused single-task vision system on top of a clean dataset (e.g. counting people from CCTV). 8–10 weeks when we include data labelling, an active-learning loop, and an evaluation harness. 12–14 weeks for multi-class systems, custom-trained models, edge deployment, or 3D pipelines.
Cloud GPU costs and labelling-vendor costs (if you don't have an in-house team) are billed transparently in addition. See the full breakdown in our blog post: How much does AI development cost in Nepal?
Direct answers to the questions buyers ask us most.
Computer vision AI uses machine learning models — typically deep neural networks — to extract structured information from images, video, and 3D data. It powers visual inspection, monitoring, OCR, document AI, scene understanding, and 3D reconstruction.
Astral Mantra Labs typically delivers production computer vision systems in 6–14 weeks. Single-task systems on clean data land at 6 weeks; full pipelines with labelling, active learning, and edge deployment take 12–14.
Single-task vision systems on existing data start in the low-to-mid four figures USD. Production pipelines with labelling and evaluation run mid-to-low five figures. Multi-class, edge-deployed, or 3D systems scale into mid-to-high five figures.
Yes. Astral Mantra Labs designs systems around your existing camera infrastructure. We tap RTSP streams, batch frames, and run models in the cloud or at the edge — your hardware stays in place.
Both. We can work with labelled data you already have, or we run labelling from scratch using active learning so you don't pay to label cases the model already knows.
Yes. We deploy to edge devices (NVIDIA Jetson, Google Coral, mobile) or fully on-prem servers when data cannot leave your environment. We pick the architecture during discovery.
Yes. We have specific experience with Devanagari OCR — most Western OCR vendors handle Latin scripts well but degrade sharply on Nepali. Our pipelines are tuned for South Asian scripts and bilingual documents.
Send us a sample of your images or video and the decision you want the model to support. We come back within 24 hours with a scope and a fixed-price discovery proposal.