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GST - Credit card holder offered loan - Service rendered by Citi Bank in extending loan is nothing but a service pertaining to the said credit card - Interest component of EMI of loan advanced by bank is not exempted: HCGST -Since the petitioner has prayed for a relief to compel the respondent bank to grant exemption, the writ petition is maintainable: HCCus - Order cancelling Special Warehouse Licence is an appealable order before the Tribunal - Respondent to work out the remedies in accordance with law: HCGST - Printing of content provided by recipient using paper & materials of applicant and supply of such printed leaflets to recipient is a composite supply - Supply of service of printing is principal supply; GST @18%: AARCX - SVLDRS, 2019 - In the SCN, it is not mentioned that the duty demand is jointly and severally payable - A co-noticee is one who is liable for the very same amount along with others: HCGST - Authority has proceeded to pass order for cancellation of registration on new material or facts which neither formed part of SCN nor the same were disclosed to writ applicant - Order set aside: HCGST - TRAN-1 - Rule 117 being directory in nature, the time limit for transitioning of credit would in no manner result in forfeiture of rights even when credit is not availed within the period prescribed: HCGST - Age is just a numberI-T - Amount received in excess of amount standing to credit of partnership firm which is paid towards notional gain on revaluation of land is liable to tax : HCGovt revises tariff value of edible oils & goldI-T - Prosecution of assessee upheld where wilful concealment of correct income by not filing ITR within time stipulated, is clearly established : HCDigital Assets transfer - CBDT notifies Form 26QF for crypto exchangeI-T - Re-assessment - Best of judgment order - Assessee not diligent in pursuing matter, failed to give adequate reply to notices; cannot later allege contravention of natural justice: HCCBDT notifies NFT resulting in transfer of ownership to be excluded for taxation purposeI-T - One opportunity can be granted to assessee as offence is compoundable: HCNiti Aayog & WFP table report on Take Home Ration schemeI-T - Case can be fixed for either limited scrutiny or complete scrutiny and in case it is for complete scrutiny, then no written approval is required by AO from PCIT: ITATConsumer Price Index for Industrial Workers for May 2022 rises by 1.02%I-T - Penalty imposed u/s 271(1)(c) sustained where assessee does not submit any evidence to show that it made voluntary disclosure during assessment proceedings, before detection of bogus loss claimed: ITAT8 Core Industries - Power, Cement, Coal & Fertilisers record high growth in May 2022I-T - Assessee did not write off provisions for doubtful debts due to fear of losing right to civil proceedings for recovery of debts; deduction allowed for provision of doubtful debts: ITATGovt releases calendar for Treasury Bills auctionI-T - Amount received in excess of amount standing to credit of partnership firm which is paid towards notional gain on revaluation of land is liable to tax : ITATGST Tribunal - Challenge is to remove microbes of bias in fleshing it out!Cus - Once in 100% EOU, raw material imported duty free is used in manufacture of final product and same is cleared on payment of duty in DTA, customs duty on raw material cannot be demanded: CESTATGST FileCX - Empty packaging material of cenvatable input is not liable for payment either as excise duty or as cenvat credit under Rule 6(3) of CCR, 2004: CESTATGovt releases Public Debt Management report for Jan-Mar 2022ST - Relevant date for computing six months periods under Notification No. 41/2007-ST to be taken the date when service tax paid and not first day of month following quarter in which export made, merely on the ground of limitation refund cannot be rejected: CESTATMigration of e-BRC Portal/Website to new IT platformST - Since the typographic error in challan number and corelation of compiled record of appellant is impressed upon by them, request of remanding the matter is hereby accepted: CESTAT
 
AI to make roads in India safer to drive

By TIOL News Service

NEW DELHI, MAY 25, 2022: ARTIFICIAL Intelligence (AI) powered solutions may soon make roads in India a safer place to drive. A unique AI approach that uses the predictive power of AI to identify risks on the road, and a collision alert system to communicate timely alerts to drivers, to make several improvements related to road safety, is being implemented in Nagpur City with an objective of resulting in a significant reduction of accidents.

The project 'Intelligent Solutions for Road Safety through Technology and Engineering' (iRASTE) at Nagpur will identify potential accident-causing scenarios while driving a vehicle and alert drivers about the same with the help of the Advance Driver Assistance System (ADAS). The project will also identify 'greyspots', i.e., by data analysis and mobility analysis by continuously monitoring dynamic risks on the entire road network. Greyspots are locations on roads, which left unaddressed could become blackspots (locations with fatal accidents). The system also conducts continuous monitoring of roads and designs engineering fixes to correct existing road blackspots for preventive maintenance and improved road infrastructure.

The iRASTE project is under by the I-Hub Foundation, IIIT Hyderabad, a Technology Innovation Hub (TIH) set up in the technology vertical- Data Banks & Data Services supported by the Department of Science and Technology (DST) under its National Mission on Interdisciplinary Cyber Physical Systems (NM-ICPS) along with INAI (Applied AI Research Institute). The project consortium includes CSIR-CRRI, and Nagpur Municipal Corporation, with Mahindra and Intel as the industry partners.

The Hub is working to coordinate, integrate, and amplify basic and applied research in broad data-driven technologies as well as its dissemination and translation across the country. One of the primary aims is to prepare a critical resource for the future use by researchers, startups, and industry, mainly in the areas of smart mobility, healthcare along with smart buildings.

What makes the iRASTE project even more unique is that AI and technology is being applied to create practical solutions, as a blueprint,  for  Indian conditions. While the initial rollout of iRASTE is in Nagpur, the eventual goal is to replicate the solution in other cities too. Currently, talks are on with the Telangana government to adopt the technology in a fleet of buses that ply on highways. There are further plans to extend the scope of iRASTE to Goa and Gujarat also.

I-Hub Foundation has also used techniques ranging from machine learning, computer vision and computational sensing for several other data-driven technological solutions in the mobility sector. One such solution is the India Driving Dataset (IDD), a dataset for road scene understanding in unstructured environments captured from Indian roads, which stands out by deviating from the worldwide assumptions of well-delineated infrastructure such as lanes, limited tra?c participants, low variation in object or background appearance and strong adherence to tra?c rules.

The dataset, a first of its kind, consists of 10,000 images, finely annotated with 34 classes collected from 182 drive sequences on Indian roads obtained from a front-facing camera attached to a car driven around Hyderabad, Bangalore, and their outskirts. The dataset is released in the public domain for unrestricted use under public license and is becoming a defacto dataset for all analysis on Indian road scenes. Currently, there are over 5000 registered users for this dataset across the world.

Another dataset called Open World Object Detection on Road Scenes (ORDER) has also been developed using the India Driving Dataset that could be used by autonomous navigation systems in Indian driving conditions for localization and classification of the objects in a road scene. Besides this, a Mobility Car Data Platform (MCDP) has been designed with several sensors – cameras, LIDARs, with necessary compute for anyone to capture or process data on the car that can help researchers and start-ups in India test their automotive algorithms and approaches in navigation and research on Indian roads.

LaneRoadNet (LRNet), a new framework with an integrated mechanism considering lane and road parameters using deep learning, has been designed to address problems of Indian roads, which have several obstacles, occluded lane markings, broken dividers, cracks, potholes, etc. that put the drivers at significant risk while driving. In this framework, a road quality score is calculated with the help of a modular scoring function. The final score helps the authorities to assess road quality and prioritize maintenance schedules of the road so as to improve the drivability.

In order to help local self-government institutions employ suitable rejuvenation methods in tree starved streets, I-Hub Foundation designed a framework for street tree detection, counting and visualization that uses object detectors and a matching counting algorithm. The work has paved way for a quick, accurate, and inexpensive way to recognize tree-starved streets.


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