Harness the power of Computer Vision & AI Development to build intelligent, image-aware applications that see, understand, and act.
AI-powered visual systems can analyze images, detect patterns, recognize objects, and make decisions—unlocking automation and insight that’s impossible with manual processing. Whether you're building face detection software, quality control tools, smart cameras, or interactive visual experiences, computer vision gives your product eyes and intelligence.
With the rise of AI in industries like security, healthcare, logistics, retail, and automotive, integrating computer vision is no longer optional—it's a competitive edge.
OpenCV, MediaPipe , YOLO, Detectron2, TensorFlow, PyTorch, Tesseract OCR, Albumentations, scikit-image, PIL, OpenVINO
Python, C++, JavaScript (Node.js), Rust
Flask, FastAPI, Docker, ONNX, Raspberry Pi, Edge Devices
At Techmave Solutions, we build end-to-end AI products that process and understand visual data. From custom image detection systems to real-time video analytics tools, we develop solutions that are scalable, efficient, and tailored to your industry needs.
We develop complete computer vision systems using OpenCV and deep learning—from proof of concept to production.
Detect and follow people, vehicles, products, or custom objects in images and video streams.
Build tools for identity verification, attendance systems, facial analysis, and pose estimation using cutting-edge vision models.
Train models to classify, group, or segment images for use cases like quality control, medical imaging, or environmental analysis.
Extract data from scanned documents, ID cards, receipts, or images using AI-powered Optical Character Recognition (OCR).
Build intelligent surveillance, traffic monitoring, or retail analytics systems with live visual processing.
Deploy lightweight visual models on devices like Raspberry Pi, Jetson Nano, or Android for real-world, real-time use.
We can create SDKs or APIs that expose computer vision features for use in your own software or app.
We work with you to define use cases, collect data, and determine the best visual AI approach.
We gather and annotate custom datasets, or use transfer learning from pre-trained models.
We develop, train, and fine-tune visual AI models for detection, classification, or tracking.
We ensure accuracy, speed, and robustness through rigorous validation across varied environments.
Your model is packaged into a product (web, mobile, edge) with smooth integrations and scalable performance.
We support ongoing updates, retraining, and performance tuning as your needs evolve.