You will get to recognize people at large scale, low visibility and low resolution image
Project details
We have added incremental learning in face recognition that enables faster training and deployment. Below are few reasons that describe our solution.
Incremental Face Learning
• Train & Deploy model in just 30 seconds
Works in Low Resolution
• Achieved >90% accuracy with 2mp camera
Supports Large Population
• Tested over 4,000 users and gained 96.87% accuracy
Supports Edge Devices
• Deployed the system on NXP 93 board & Android Phones
Incremental Face Learning
• Train & Deploy model in just 30 seconds
Works in Low Resolution
• Achieved >90% accuracy with 2mp camera
Supports Large Population
• Tested over 4,000 users and gained 96.87% accuracy
Supports Edge Devices
• Deployed the system on NXP 93 board & Android Phones
Machine Learning Tools
NumPy, OpenCV, Python, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$500
|
Standard
$2,000
|
Advanced
$3,000
|
|---|---|---|---|
| Delivery Time | 15 days | 30 days | 30 days |
Number of Revisions | 2 | 4 | 4 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
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AI machine learning CSV/xlsx processor to determine if a question is being asked
Mr. Singh not only delivered the project on time, but exceeded expectations. He has excellent communication, is highly analytical, an out-of-the box thinker and problem solver, and is highly skilled in his field. If you need anything done regarding machine learning, this is the person you should hire. I have been on Upwork since before the name change when was called oDesk...so I know a thing or two about great freelancers. He will be my go-to for this sort of work from now on, and if you're looking for a high quality work result, you'll hire him also. I'm really looking forward to working with Mr. Singh again, and hearing what solutions he has available for the next project.
About Avinash Kumar
Generative AI | Computer Vision | Deep Learning | NLP | AI Coach
Hyderabad, India - 11:46 pm local time
⌚️𝟭𝟮+ 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 working in Artificial Intelligence
📷 Delivered more than 𝟱𝟬+ 𝗱𝗲𝗲𝗽 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗰𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝘃𝗶𝘀𝗶𝗼𝗻 solutions
📝 Expertise in 𝘀𝗰𝗮𝗻𝗻𝗲𝗱 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 and information retrieval
💡𝗙𝗶𝗻𝗲𝘁𝘂𝗻𝗲𝗱 different 𝗟𝗮𝗿𝗴𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀
🎖𝗘𝗻𝗱 𝘁𝗼 𝗘𝗻𝗱 𝗠𝗟 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘆 for retail, food & beverage, hospitality and automobile industries.
𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀:
𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻:
✅Object Detection, Tracking, Segmentation
✅Person Identification, Counting, Tracking, Multi View Tracking
✅Human Pose Estimation, Action Recognition
✅ Face Recognition, Anti Face Spoofing
✅Multi-label Image Classification (10k Classes), Scene Recognition, Image Captioning
𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴:
✅Re-Training OCR to introduce a new language and new font
✅ Apply Language Model to improve OCR Character and Word Error Rate
✅ Visual Named Entity Recognition to visually locate different entities in a document
✅Extract line items from the tabular data
✅KYC document processing
✅Cheque Processing
𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴:
✅𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Sentiment Analysis, News Categorization and Email Classification.
✅𝗦𝗲𝗻𝘁𝗶𝗺𝗲𝗻𝘁 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Sentiment Analysis on Twitter Dataset, and Customer Feedback Analysis.
✅𝗡𝗮𝗺𝗲𝗱 𝗘𝗻𝘁𝗶𝘁𝘆 𝗥𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻 (𝗡𝗘𝗥): Medical Prescription Analysis, and Financial Document Processing.
✅𝗧𝗲𝘅𝘁 𝗦𝘂𝗺𝗺𝗮𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Legal document condensation, and Product Review Summarization.
✅𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹: Document Retrieval, and Question-Answering systems
✅𝗧𝗼𝗽𝗶𝗰 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴: Organizing Large Document Collections and Content Recommendation.
𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜:
✅𝗧𝗲𝘅𝘁 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻: Finance LLM (generating the complex financial queries), Text Summarization .
✅𝗜𝗺𝗮𝗴𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻: GAN, Conditional GAN
𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗠𝗟𝗢𝗽𝘀):
✅𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Automated model versioning, real-time model serving, scalable model hosting, A/B testing of models.
✅𝗠𝗼𝗱𝗲𝗹 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗟𝗼𝗴𝗴𝗶𝗻𝗴: Data and Model drift detection, real-time logging of model predictions, monitoring model resource usage.
✅𝗠𝗼𝗱𝗲𝗹 𝗥𝗲𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Automated retraining on new data, continuous data ingestion and preprocessing, model retraining based on performance thresholds, dataset versioning.
𝗜𝗢𝗧, 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗮𝗻𝗱 𝗘𝗱𝗴𝗲 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀:
✅𝗘𝗱𝗴𝗲-𝗕𝗮𝘀𝗲𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: object detection, classification, license plate recognition and others models are deployed on devices like 𝗥𝗮𝘀𝗽𝗯𝗲𝗿𝗿𝘆 𝗣𝗶, 𝗝𝗲𝘁𝘀𝗼𝗻 𝗡𝗮𝗻𝗼 and 𝗡𝗫𝗣 𝟵𝟯 board. Used hardware delegates to Utilize Graphical Processing Unit (𝗚𝗣𝗨) and Neural Processing Unit (𝗡𝗣𝗨)
✅𝗛𝘂𝗺𝗮𝗻-𝗥𝗼𝗯𝗼𝘁 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻: Visual Grounding, Collaborative Robot Teams (Pepper and Nao Humanoid Robots), Verbal Human-Robot Interaction.
✅𝗜𝗼𝗧-𝗕𝗮𝘀𝗲𝗱 𝗦𝗺𝗮𝗿𝘁 𝗛𝗼𝗺𝗲 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Smart lighting control, real-time security camera monitoring, voice-controlled appliances, humidity and temperature control.
I am passionate about applying my deep knowledge and experience to solve complex problems and drive innovation in computer vision and AI. Whether you need help with developing advanced computer vision models, optimizing your AI systems, or integrating AI solutions into your products, I am here to deliver high-quality results that meet your specific needs.
Let’s work together to turn your vision into reality!
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