WaveScan Technologies Pte. Ltd. is an A*STAR spinoff specialising in microwave & mm-Wave NDT sensor systems. Our technology builds upon nearly a decade-long R&D on microwave & mm-wave NDT sensors at Institute for Infocomm Research, A*STAR, Singapore. We provide an end to end cloud based AI enabled inspection solution, together through partnership with autonomous vehicle companies. At WaveScan, it is our mission to introduce such automated electromagnetics (EM) sensor-based NDT solutions towards better liveable cities.
Limited Detection capabilities
Conventional NDT sensor technologies include X-Ray NDT, ultrasonic NDT, eddy current NDT and microwave GPR NDT. All the aforementioned technologies have limited detection capabilities:
TIME CONSUMING AND TEDIOUS
Available handheld sensor technologies in market, aggravated by the manual inspection and non-standardized procedures makes the NDT process time-consuming & tedious. Our sensors provide an end to end efficient infrastructure maintenance solution by digitizing entire NDT process.
SHORTAGE OF SKILLED WORKFORCE
In conventional NDT processes, experienced field inspectors are needed to perform measurements and process/interpret data. AI enabled defect analytics and prediction of defect lifecycles helps in replacing manual NDT process and reducing the requirement of skilled field inspectors.
Manual inspection & analysis leads to conflicting conclusions based on individual’s perspective. Currently there is no standardisation of the NDT process for infrastructure facilities. Our ecosystem of intelligent sensors enables standardization of NDT inspection and testing process leading to a ~30% increase in productivity with minimal downtime.
End-to-end wireless microwave & mm-wave based NDT sensor solution with AI enabled capabilities integrated in the cloud for smart predictive maintenance of infrastructure facilities.
Underlying technology behind the sensor
What is mm-wave/microwave NDT?
Microwaves and mm-waves are capable of penetration through materials such as tiles, PVC, building facades, dielectric composites, concrete, wooden panels, etc. The sensors are non-contact and detect surface defects such as cracks, corrosion, precursor pittings and embedded anomalies such as disbonds. They also detect volumetric defects such as voids and delaminations.The sensors are capable of imaging defects with sub-mm scale resolution with varying stand-off distances.
Background Our Research
The core patented technology behind the sensors has been developed by our founders in A*STAR over a period of 8 years growing capability through various market verticals such as Aerospace maintenance, repair and overhaul, oil & gas pipeline inspection and infrastructure inspection.
Aerospace maintenance, repair and overhaul
Non-destructive testing (NDT) is used extensively during the manufacturing & maintenance of aircrafts. Wings, fuselages and fasteners are exposed to harsh conditions and lead to corrosion & cracks which are hidden under paint and primer. Other defects include precursor pitting and cracks emanating from fastener and rivets. These surface defects are detected using the developed mm-wave NDT sensors with sub-mm scale resolution. WaveScan's Microwave & mm-wave IoT NDT system, along with the cloud-based AI algorithms for analytics are well aligned with the vision of the ‘Hangars of the Future.’
Oil & Gas Pipeline inspection
Pipelines are exposed to a variety of harsh environmental conditions like temperature, pressure and moisture that leads to corrosion & cracks. To protect pipes from impact, abrasion, and corrosion, a variety of methods are used, like rockshield, & high density polyethylene (HDPE) etc. Even with this protection, the pipeline are susceptible to corrosion & cracks and need to be inspected. The removal of the insulations is costly, time consuming and effects the down time of the gas supply. An effective and fast mm-wave NDE method is required to provide useful information (like detection of corrosion, cracks & damages) and also to determine these anomalies without removing the insulation. WaveScan's developed Microwave & mm-wave IoT NDT sensors are integrable with the existing Oil & Gas pipeline maintenance systems. Our envisaged AI-based predictive maintenance system is along the lines of the digital transformations happening in this NDT market vertical.
Infrastructure – Outdoor facilities
Infrastructure – Indoor facilities
Founders and CoFounders
Meet Our Team
Dr. Kush Agarwal
Kush is an Indian-born Singaporean innovator, who is a technologist by training, a scientist by profession, and an entrepreneur by DNA, which stems from his early childhood involvement in the family pharmaceutical business. He has created technology business ventures from concept to launch and beyond within friends & family. To date, Kush has co-founded three Singapore based tech-startups through his inventions – Synapse Technologies (ML & Internet of Robotic Things), SmartClean Technologies (IoT & AI for Predictive Cleaning), and WaveScan Technologies (Microwave & Millimeter-wave sensors & AI for Non-destructive testing & Predictive Maintenance).
He holds a Ph.D. from the National University of Singapore, an M.S. from Nanyang Technological University Singapore, and a B.Tech. from College of Engineering Roorkee India, all in Electrical and Electronic Engineering, specializing in component and system-level wireless interfaces. Kush has close to a decade of experience in the R&D & management of wireless technologies and, has authored 25 refereed papers, book chapters, and six patent filings. He is also a part of the editorial review committee of over two dozen journals affiliated to IEEE, IET, Taylor & Francis, Wiley, and Springer. Currently, Kush is serving as the Associate Editor for IET Microwaves, Antennas & Propagation, and IET Electronics Letters journals.
Kush is an Executive Committee Member of IEEE Singapore Section & Steering Committee Member of IEEE Entrepreneurship, where he chairs and leads the professional activities of IEEE in Singapore. He is affiliated with AP, MTT, ComSoc, EMBS, IoT, and RFID Societies as a Senior Member of IEEE. Kush has worked with the CGI (Canada), Institute for Infocomm Research, A*STAR, NUS & NTU, and is actively involved in supporting and building the tech-startup ecosystem in Asia-Pacific region. He firmly believes in teamwork and that, private-public entities will have to collectively work towards shared sustainable strategies, incentives, and a value system as we strive to transform human lives with disruptive technologies to improve the current state of the world and build a competitive, yet healthy & productive future for our younger generation.
OUR INVESTORS & MENTORS
Lets get in touch. Send us a message:
WaveScan Technologies Pte. Ltd., A*StartCentral- ETPL’s Co-innovation space, 79 Ayer Rajah Crescent, Singapore 139955
Phone: +65 81397232