A glance on the changes of Data Collection – Recognition Technology


With the introduction of the Gait recognition database in China Central Television (CCTV), the China government shined a new spotlight on data collection for various purpose such as human safety, transportation, business and so on. A special party could already be figured out even if he/she is 50 meters away from the Ultra HD camcorder. More importantly, there is no room for inaccuracy regarding the party as the technology is based on human movements but not facial expressions. Consequently, the target can still be spotted even if he/she is wearing a mask.


When it comes to recognition, there are a lot of technology being developed. For instance, facial recognition in iPhone X is the hottest discussion topic these days. It has utilized iris scanning technology by identifying the patterns of our irises. Users can easily unlock their phone as a suite of sensors has mapped the users’ face in 3-D. Moreover, you will not be surprised with the fingerprint recognition in turning on our electronic devices. On this aspect, there is also a vehicle recognition in the Data Studio of Hong Kong Science Park. A video analysis is shown to demonstrate the real-time estimation of the number of people entering and leaving the park by transportation. After the data has been recorded, it may be useful for the restaurants' holders in the park to adjust the amount of food to be prepared and manpower needed during different time periods; maximising the cost effectiveness of operation as well as being environmentally conscious. 

By and large, the technology of recognition is a kickstart for gathering data. The data diversity provides a large amount of information. This may be an alternative in enriching our database for business development. Can you come up any innovative ways for data collection?