It is a well-known fact that ageing population now is a serious issue impacting the global economy, according to various reports from numerous authorities of different countries. In Hong Kong, the government estimated that the ageing population (> 65 yo) will be more than 2 million by 2030 and about 20% of them fall every year. There is similar situation occurred in other developed countries. For instance, the number of elderly fall-related hospitalizations in the US had increased 50% in the past 10 years. In Canada, falls account for 85% of the injury-related admissions to hospital among the elderly. A rough estimation of the Elderly Fall healthcare expenditures may need up to USD 60 billion per year.

Hence a Fall Detection and Prevention Service is urgently needed for helping the governments to alleviate their financial pressure and for protecting the elderly from fall as well. Unfortunately, only a very limited Fall Detection product is available and insufficient of Fall Prevention is offered in the market now. The lack of suitable products of these kinds is mainly due to immature algorithms with data analytics to gauge what hits the Fall. Thanks to the advancement of Machine Learning technology and the research achievements from many universities, now we have a far more accurate learning algorithms with big data, which can help to provide the Fall Detection, Prevention and Gait Identification.

Lamda Sense Ltd aims to be one of the leading companies developing this product and service. Our first target is to launch it in the local and overseas markets with some NGO partners, hospital authorities and the nursing homes. As its application is not limited to elderly people, the product and service will be extended further to cover safety, security and healthcare applications for enterprise and consumer sectors.

Please refer to our contact page for further details or enquires.