Computer Vision and Deep Learning

Computer Vision & Deep Learning

Trangile’s framework approach to deliver solutions Faster, Smarter, Affordable and Pluggable.

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Trangile’s framework

Delivers Faster

Framework-based multiple solutions is built from components. Each component is like a small service that performs a certain task. Components are built in multiple languages and interact with each other through a robust event-based mechanisms. This enables solutions to be delivered faster instead of developing from ground-up. Trangile’s integration services team is fully equipped to handle all system integrations of our framework 4.0 based solutions

Delivers Affordable

Trangile’s framework approach Reduces total cost of ownership. Reduces dependence on software vendors. Enables easier customization and fit in your own business processes. Achieve higher level of security.

Delivers Pluggable

Each solution comes with well documented developer API that makes the solution platform independent and pluggable into any other platform or workflow. Customers can choose to self-host or use our fully managed* hosted solution. Trangile’s integration services team is fully equipped to handle all system integrations of our framework 4.0 based solution.

Delivers Smart

By deploying smarter solutions business gain an ability to: Save time and money by automating and optimizing routine processes and tasks Increase productivity and operational efficiencies. Make faster business decisions based on outputs from cognitive technologies Avoid mistakes and 'human errors’. Use insight to predict and offer better, personalized experiences to your costumers.

Business Use Case

eKYC framework enables organizations to fulfil their KYC (Know Your Customer) obligations with fast and accurate online ID and identity verification. Our solution organizations replace slow, ineffective, and manual KYC processes with more automated solutions that can be embedded within the online account setup and onboarding experience. eKYC’s Identity Verification solutions leverage AI, computer vision, OCR, biometrics and human review to deliver the accurate and one of the fastest solutions in the market.
Capability eSmart OCR meets the complex machine vision requirements of highly unstructured data, disparate data and document format independent. Complex pattern recognition The eSmart OCR framework delivers superior Natural Language based classification with small data sets, recognising complex patterns in data. eSmart OCR is capable of reading most of structured and unstructured data, including Images, hand printed text, cursive writing and signatures
Video Processing
Processing of Digital video signals using special algorithms to perform specific functions Aim is to identify outliers from a live zone of incidence. The outlier could be subject/ object in question Open-source Compliant Streaming Devices ( CCTV / Online videos / Traffic Cameras IR/ Thermal Cameras ) Communication Channels ( Hypertext Transfer Protocol (HTTP) / Real Time Streaming protocol (RTSP) ) AI algorithms for video processing and deep learning ( Keras/ OpenCV/ TensorFlow )
Business Problem
Retailers & 3PL service providers, the existing WMS implementations ( INFOR, SAP, Oracle, JDA ), a majority of them are designed to cater to the B2B fulfilment i.e. stock transfer to their / principals' own store locations. This is usually an FTL or bulk movement of merchandise from the DC to the retail stores. However, in the current scenario especially during the Covid-19 pandemic, the world has moved rapidly to online transactions using virtual stores, and marketplaces for direct home delivery. This is going to be a permanent change in shopping behaviour and businesses need to rush to cater to this situation.
Our Solution
Trangile is in the process of designing a middleware Integration Layer application which will connect existing standard or legacy WMS systems to the upstream solutions such as Marketplaces or Order Management Systems (OMS) or ERP as well as the downstream applications like the Last Mile Delivery (LMD) solutions. The current target of this Integration Middleware is customers who are using WMS and planning to shift to online retailing. This application will sit on top of the WMS as a thin layer and provide a readymade handshake mechanism with OMS / Marketplaces and LMD systems. This will be a plug-and-play integration where pre-defined interfaces to leading marketplaces and LMDs would be pre-built and available for the most common data transfer touch points. Also, for popular WMS systems like Infor, Oracle, SAP, etc. key integration requirements will be identified and built which will be available out of the box for the customers. For legacy/custom solutions, multiple field mapping options and data exchange formats would be available to integrate based on the capability of those systems

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