We are the first in the world to combine video analytics counting and Wi-Fi beacon tracking in one device, giving you 6 business metrics:
1) Footfall Counting
2) Outside Traffic
3) Dwell Time
4) Returning Customers
5) Cross Shopping
Video counting technology is used to count the absolute number of people enter and exit the site. While Wi-Fi technology enable to capture the Wi-Fi data such as unique mac address from the smart devices people carried and provide deep wi-fi analysis such as zone analytics, dwell time, passer by, turn in rate, traffic flow, returning customer and cross shopping.
People counter can help to collect the number of people entered to your store. It conducts bidirectional counting, which count in and out simultaneously. FootfallCam achieves high counting accuracy of 95% and above by employing the most advanced algorithm, based on color and texture, solving the issues with shadows and light level changes.
Visit duration is measured based on unique identifier (MAC ID probes) from user’s smartphone. It could approximate the time of a visitor entered and left the store. You can know how long your customer stay in your store. And also, by looking at the dwell time and sales transaction, management will be able to find the pattern matching.
By comparing the unique identifier in different stores, cross shoppers can be identified by detecting the matching unique MAC ID in different stores.You are able to find out whether the customers travel to visit different stores due to holiday, or shortage of stocks in the regular store they are visiting.
FootfallCam can detect user's position within 100m radius. Based on the signal strength, it detects passer by outside the store and gives you the storefront conversion rate by comparing with the store footfall. We will have answer for queries such as how many missed opportunity outside the operating hours and how many people passing through has actually visited the store.
Distinguishes if the customer has visited the store before by comparing the unique identifies with previous records. You are able to find out how many customers have returned in last 3 months. This can be used to measure customer loyalty via the frequency and shopping habits of returning customers.
Location analytics uses advanced data mining techniques tuned to the type of data Wi-Fi location provides. Location analytics provides two methods for defining the different zone or area of a venue. Explicit zones can be defined by the user as named polygons that represent known defined spaces. It could be identifiable by its Zone ID.
3D Stereoscopic is using 2 lens to facilitate depth perception and 3D-reconstruction in an image.
Information capture from the two differing views will be combined and interpreted into depth data, which are inversely proportional to the differences in distance to the objects.
Depth information allows camera to distinguish a group of people as separate objects, such as one person in front of another.
It can count accurately even when more than 10 people come in and out of the store at the same time.
Each phone would transmit a Wi-Fi beacon signal every 2 - 8 seconds
Each Wi-Fi beacon carries a MAC address which is unique to each phone
By listening to the MAC address, the counter can identify each unique visitor
The signal strength of probes can give the approximate location of each person
Each shop floor environment is different, however our Wi-Fi tracking can learn the behavior of the walking path based on a large quantity of sample size and auto adjust the setting to suit the unique shop environment. Auto tuning technology is the key development in people counting to ensure all counters across all location are providing more accurate data. This auto-tuning methodology makes sure our counters to maintain 98% accuracy during data collection.