Video Analytics and Surveillance Toolkit (VAST) is a powerful video analytics platform which enables creating custom AI bots to monitor, analyze and flag alerts on the video feeds coming from various contextual environments.
Paralaxiom natural language processing platform is capable of extracting text from a document or image, process the text for text understanding based on the context and built custom application on top of it like enterprise workflow, text rephrasing, form filling etc.
Monitoring of vehicular and pedestrian traffic (count), Identify traffic jams and create a report
VAST enabled traffic AI bot could count the number of cars, bikes, autos and pedestrian and the approx. speed of their movement to predict traffic locks.
Appropriate alerts generated and a report created.
Monitoring of personnel movement in a zone, count of zone violations, objects identification in zones.
VAST surveillance solution allows to easily define 2D zones or do-not-cross lines.
Continuous monitoring of violations is done by the platform without any user intervention
It can also identify abandoned objects
Face identification for attendance for multiple people at one go.
VAST face-ID solution would be efficient.
Monitoring of smoke coming out from chimney in a manufacturing unit.
VAST was used to build a custom solution for a manufacturing unit to identify the smoke as and when it come out of chimney.
Alerts can be generated so that it can be managed and contained.
Monitoring of security guard presence in security room.
VAST was used to build a custom solution for an IT park to detect the presence of security guard at their specified location all the times. Guard was detected through multiple features extractions.
An alert was generated if guard is not present more than a specified threshold time limit.
Monitoring of classroom activity and teacher presence*
We are developing VAST for monitoring classrooms for student activity and orderliness, and whether a teacher is present or not. This will help school administrators manage the timetable of the school properly.
Closing of the loop by alerting the person(s) incharge and subsequent verification that the alert has been worked upon.
Monitoring of personnel in the construction site for safety*
We can work on monitoring the personnel in a construction site. We can train the neural network to track jackets, helmets and ensure the person is wearing the same.
*This use-case is under active development with a safety and security company.
A neural network was developed to count RBCs in human blood for a customer in diagnostic industry.
The same NN model is ported to identify nuclei in human cells as case study to demonstrate our capability in microbiology applications as real customer data can’t be shared.
With minor modifications in the NN models, it can be ported to other microscopic organisms for information extractions.
Team Paralaxiom consists of set of seasoned technologists from premier educational institutes. We have proven track record in ramping up complex products and solutions both as part of large multinationals as well as part of entrepreneurial ventures. We are among the earliest practitioners of deep-learning and AI technologies and have world class credentials in these bleeding edge technologies.
Kshitij Sharma is Paralaxiom’s Managing Director and Chief Executive Officer. He is a seasoned engineer with two decades of rich experience in software development, deep learning, analytics, computer vision, cloud computing and enterprise software areas. He has several years of experience in building and leading engineering teams and programs, creating and implementing processes and developing an overall strategy for software engineering for large multinationals like Cisco Systems, Microsoft and Aruba Networks. Prior to Paralaxiom, Kshitij has also served as Chief Technology Officer for two deep tech startups solving complex problems in the domain of machine vision. Kshitij received his B.Tech in Electrical Engineering from the Indian Institute of Technology in Bombay in 1997.
Salil Manekar is Paralaxiom’s Co-founder and COO. He has over two decades of rich experience in software development, analytics, business intelligence, ERP and related enterprise software areas. He specializes in operations, program management, analysis and strategic development solutions in diverse business settings. He has a varied experience and knowledge in various domains like manufacturing, agriculture, trading, computing & telecom industry. Prior to Paralaxiom, Salil has served in various roles in Dell EMC, Motorola, think3 & Kewalram Chanrai Group (Nigeria). Salil completed his 5 Yr Integrated M.Tech (B.Tech + M.Tech) from Indian Institute of Technology in Bombay in 1998. He is an avid traveller and a night photography enthusiast.
Ashok has two decades of experience in technology industry working with companies like Intel, Qualcomm and designing cutting edge cache memories for server CPUs, mobile app processers and microcontrollers. Ashok founded Si2chip Technologies, a semiconductor consulting company in year 2013 and grew the company into 200 people strong organization. Si2chip counted most of the word's top 10 semiconductor companies as its customer. Si2chip was sold to Alten, a French major, in 2018. Ashok currently is VP of VLSI-BU for Alten Calsoft Labs. Ashok is an investor and advisor in the Paralaxiom and advises on matter of product roadmap and strategy.