SKIA is a people flow measuring solution that uses LiDAR (Light Detection and Ranging), a widely adopted technology in autonomous vehicles.
LiDAR uses safe, invisible to human eye, light pulses to detect and measure distances of the surrounding environment, which outputs people and objects as point cloud data.
Our solution can categorize people and furniture or such and record the movements of each person. Unlike surveillance cameras, it does not intrude the people's privacy, since it does not collect people's faces or similar identities as pictures or videos.
Cameras | LiDAR | Beacons | |
---|---|---|---|
Count people | ⚪︎ | ⚪︎ | ⚪︎ |
Tracking | △ | ⚪︎ | ⚪︎ |
Accuracy of Position | △ | ⚪︎ | △ |
Semantic Profiling |
△
Gender estimation |
× | ⚪︎ Person identified |
Privacy | △ | ⚪︎ | × |
Ease of Setup | △ Needs adjusting of lighting or scope of picturing |
⚪︎ | × Many devices required. Staff must carry |
The analysis technology is based on joint research with Professor Mihoko Niitsuma Laboratory of Chuo University. It can measure, visualize, and analyze the movements or crowdedness of the space.
Read the story behind our development (link to Chuo University's Private-Academic-Public Collaborations site).
https://plus-c.chuo-u.ac.jp/collaboration/1724/
Digitalization is necessary for increasing the number of visitors to a facility or enhancing engagements in offices or public open spaces.
Integrate, digitalize, numerate the information collected subjectively by each location, and share across the team members as unbiased data, so everyone can proceed in resolving issues or engage in initiatives as one, truly with their heart.
1. Visualize the store's attractiveness or the effectiveness of campaigns
2. Extract business issues for strengthening engagement of facilities or open public spaces
3. Efficient usage of office spaces, improving communication in a company