You will get Computer Vision Services and Solutions
Project details
Our Product:
• The perfect blend of acumen and ingenuity
• Customized computer vision services such as video recognition, image analysis, or any other aspect of computer vision, our experienced team can help you achieve your goals.
• We specialize in tailored image and video analysis solutions, using advanced algorithms to provide deeper insights and optimize your operations. With our extensive experience in computer vision, we quickly identify and deliver robust solutions that meet your needs
Features:
• Supports a full range of vision AI tasks, including detection, segmentation, pose estimation, tracking, and classification.
• Seamlessly integrated with open-source, AI-powered video management system(VMS) (Optional)
• Image and Video ( detection, segmentation, classification, tracking and pose estimation)
• Face Recognition and Face Detection
• Pattern analysis, classification, anomaly or defect detection
• Seamlessly integrated with open-source, AI-powered Secure WebSocket and MQTT based event notification server (Optional)
• Our solution includes an Inference API that exposes all vision AI tasks through a RESTful interface.
• The perfect blend of acumen and ingenuity
• Customized computer vision services such as video recognition, image analysis, or any other aspect of computer vision, our experienced team can help you achieve your goals.
• We specialize in tailored image and video analysis solutions, using advanced algorithms to provide deeper insights and optimize your operations. With our extensive experience in computer vision, we quickly identify and deliver robust solutions that meet your needs
Features:
• Supports a full range of vision AI tasks, including detection, segmentation, pose estimation, tracking, and classification.
• Seamlessly integrated with open-source, AI-powered video management system(VMS) (Optional)
• Image and Video ( detection, segmentation, classification, tracking and pose estimation)
• Face Recognition and Face Detection
• Pattern analysis, classification, anomaly or defect detection
• Seamlessly integrated with open-source, AI-powered Secure WebSocket and MQTT based event notification server (Optional)
• Our solution includes an Inference API that exposes all vision AI tasks through a RESTful interface.
AI Development Type
Deep Learning, Model TuningAI Tools
Azure Machine Learning, Keras, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$50
|
Standard
$200
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 5 days | 30 days | 60 days |
Number of Revisions | 1 | 3 | 5 |
AI Model Integration | |||
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | |
Source Code | - | - | - |
Taxonomy | - | - | - |
About Sudhahar
Lead Machine Learning Engineer with strong Data Engineering
San Jose, United States - 3:40 am local time
Specialties: DATA ENGINEERING, DATA ANALYTICS and DATA SCIENCE.
Core Competencies:
- Computer Vision
NLP, Image Recognition / Classification
- Object Tracking & Product Search, Expense Reports Audit/Fraud Automation
- Big Data Strategy, Architecture and Management
- Business Analytics & Optimization and Data Visualization
Strengths:
- Occupancy Analytics, Traffic Congestion & Patterns, Object detection & Tracking
- Sourcing & Procurement, Demand forecasting, Inventory Optimization, & Liability horizons
SKILLS:
LANGUAGES: Perl, Python, Pyspark, SQL, PL/SQL
DATABASES: Teradata, Oracle and MySQL.
BIG DATA: Hadoop, Hive, Presto & Spark
DATA SCIENCE: Scikit-Learn, Jupyter, Pandas, Matplotlib, Seaborn, Altair, Plotly, NLTK, spaCY, Keras, Hyperopt, TensorFlow, PyTorch, LLAMA2, LangChain, GPT4All, miniGPT4, RAG
ALGORITHMS: Regression models, Decision tress, Random Forest, KNN, SVM, xgboost, Neural Networks, Transformers (RoBERTa), TrOCR, ARIMA,CNN-LSTM, Faster R-CNN, YOLO, SSD..
Cloud: Kubernetes, Azure, Netflix Conductor, HuggingFace
ROLES:
• Data Modeling & Architecture (LDM, PDM, Normalization/De-Normalization, Dimensional & Aggregation models, MDR, MDM, Drill thru)
• ML/DL/NLP/LLM algorithms to discover new patterns & KPIs in the domains. Model ensemble & Model stacking.
• Data Acquisition (authorizations, conversion, sizing, end-to-end data and integration design for all key business domains)
• Data Exploration (profiling, data quality, sampling, attributes & characteristics, viz, correlations)
• Data Prep (Feature Engineering, transformations, data cleaning, etc)
• Hands on building frameworks, data pipelines, data validation/evaluation, unit tests and respective automation
• Opportunity identification and analysis, problem definition, and collaborating the development and deployment of advanced data design practices within the Enterprise Architecture organization.
• Actively collaborate with business and enterprise data leaders (SMEs) to provide technical advice on data governance, data quality and stewardship
• Build the Product relevancy, equivalency & similarity by weighing trending through pre-processing, feature engineering, hyper parameters
• Analyze large & diverse data sets quickly and detect anomalies thru Data Exploration, Exploratory visualization and Benchmark models through model stacking.
• Benchmarking Algorithms & Models (Test & Train datasets, metrics, fitting, feature selection, etc.)
• Tuning & Ensembling (Custom features, hyperparameters, Grid Search, pipelines, etc.)
• Performance Tuning and applying various techniques to speed up training
• distributing TensorFlow across devices & servers; dimensionality reduction
• Experienced on Transfer Learning and related stratgeies; Used pre-trained models for CV (e.g. ResNet-50 etc) & NLP (Word2Vec) and did related work also on Multitask Learning
• I regularly do compete on Kaggle and came in Top 20% in bunch of projects.
• NLP applications:
• Preprocessing (Noise removal, Stemming, etc)
• Feature Engineering (Parsing, Tagging, TF-IDF, word embedding, etc.)
• Classification & Matching (automatic summarization, sentiment analysis,
• Scikit-learn, NLTk, spaCY, Tensorflow, Keras, RNN, CNN, word2vec
Steps for completing your project
After purchasing the project, send requirements so Sudhahar can start the project.
Delivery time starts when Sudhahar receives requirements from you.
Sudhahar works on your project following the steps below.
Revisions may occur after the delivery date.
Identifying the problem and Ideation
Assessing feasibility, exploring data, and strategizing