Artificial Intelligence/Machine Learning Solutions
Real Time Object Detection
Description
Object Detection is the process of finding real-world object instances like car, bike, TV, flowers, and humans in still images or Videos.
It allows for the recognition, localization, and detection of multiple objects within an image which provides us with a much better understanding of an image as a whole.
It is commonly used in applications such as image retrieval, security, surveillance, manufacturing industries etc.
OCR Detection System
Description
Optical Character Recognition (OCR) is the process of detecting and reading text in images through computer vision. Detection of text from document images enables Natural Language Processing algorithms to decipher the text and make sense of what the document conveys.
Different fonts and ways to write a single character make this issue a challenge to solve. Before selecting an OCR algorithm, the image must be preprocessed for the image to be ready to be “read”.
Use cases of OCR
OCR engines have been developed into a range of domain-specific OCR applications including receipt, invoice, check and the legal document.
More instances of use can be discovered as follows:
– Data entry for business documents, e.g. checks, passports, invoices, bank statements, and receipts.
– Automatic recognition of license plate
– In airports, passport recognition and information extraction
– Automatic insurance document key information extraction
– Extracting business card information into a contact list
– Make numeric versions of huge printed document, e.g. book scanning
– Make electronic images of printed documents searchable, e.g. Google Books
– Converting handwriting in real-time to control a computer (pen computing)
Chat-Bot Solution
Description
An eCommerce chatbot is an AI-powered Intelligent Virtual Assistant solution that can be implemented by online retailers to engage customers at every stage of their journey.
E-Commerce chatbots are the perfect tool to facilitate ‘conversational commerce’ i.e. the leveraging of conversational interfaces (online messaging, chatbots, voice assistants etc.) to deliver an enhanced shopping experience to customers. Conversational commerce combines the ease and efficiency of e-commerce portals with the personalized assistance that customers would receive in a brick-and-mortar store
Visual Inspection System
Description
Al visual inspection bases itself on traditional computer vision methods and human vision.
If you were to create a visual inspection software for automotive manufacturing, you should develop a deep learning-based algorithm and train it with examples of defects it must detect. With enough data, the neural network will eventually detect defects without any additional instructions.
Deep learning-based visual inspection systems are good at detecting defects that are complex in nature. They not only address complex surfaces and cosmetic flaws—but also generalize and conceptualize the parts’ surfaces.
Our AI/ML Execution Process:
1. State the Problem -> 2. Collect The Data -> 3. Prepare the Data -> 4. Develop the deep learning model -> 5. Train The Model -> 6. Evaluate the Model -> 7. Deploy & Enhance the model
Get In Touch
Address
759/70, Vatsala Bhuvan, Lane No.1, Prabhat Road, Deccan Gymkhana, Pune-411004, Maharashtara, India.
Phone
+91 7499103679
SALES@ORRIS-OVERSEAS.COM
ORRIS.SALES@GMAIL.COM