Discover our image recognition and classification expertise to automate visual analysis across a various business applications powering automation, accuracy, and visual intelligence.

We help you develop custom image recognition application to detect, classify, and analyze visual contents with utmost precision.

We leverage the power of deep learning to help you classify the images while eliminating errors and keep labelling consistent.

Be it access control, attendance, or customer experience solutions, harness the power of AI-powered facial recognition solutions for seamless identification.

Enable real-time data capture, instant image classification, and actionable insights while connecting cameras and sensors to empower IoT ecosystems.

Whether you are dealing in security surveillance, logistics, or any other industry, we help you track objects in real-time using AI-based Object Tracking solutions.

Now capture and assess emotional responses by leveraging deep learning models, advanced facial analysis, and Behavioral intelligence.
Understand the kind of objects to be detected, capture images or objects of interest in a visual frame and segregate relevant regions for further classification.
Captured data is organized and labelled into specific categories, start the foundation of the precise model training and prediction for next steps.
Leverage AI algorithms to detect specific features or patterns within the image and extract key information like edges, shapes or text.
Finally classify the processed images or objects into pre-defined categories to bring meaningful insights for the users based on visual content.
Tools That Power Tomorrow’s AI
Hugging Face Transformers
Haskell
Apache Airflow
SciketLearning
Haskell
Pandas
Scala
Python
Gemma
ollama
Tensor Flow
HasKell
Lisp
Prolog
Why Clients Choose Technomark—Again and Again
AI and computer vision are used in image recognition and classification to find, examine, and classify objects, patterns, or features in images. This process facilitates automation, the creation of insights, and decision-making.
To create reliable, scalable solutions, we employ transfer learning, deep learning models like CNNs (Convolutional Neural Networks), and AI frameworks like TensorFlow, PyTorch, and OpenCV.
Indeed. Whether for visual search, facial recognition, or defect detection, we create and train custom models based on your datasets, industry requirements, and performance objectives.
It reduces manual labor while increasing accuracy, speed, and scalability in sectors like manufacturing, retail, and healthcare by automating visual inspection, quality control, product tagging, and data analysis.