Deliver usable in-store metrics on visitor activity, experience and engagement
Track the number of people coming into your space. Identify each visitor’s age and gender. Measure how long they wait and how much time they spend engaging with physical items or content on digital screens.
Count and Qualify
Count footfall and unique inbound visitors. Accurately detect age and gender, vehicle counting and more.
Length of Stay
Measure the duration of visitors’ stays in the store, including detailed data on their age ranges and genders.
Waiting Time
Measure how long customers are waiting for service. Optimize your staffing allocations accordingly.
Attention Span
StiX 5700 facilitates Computer Vision
This device supports every AQUAJI feature and module*. The onboard computer vision software can analyze up to 25 individuals simultaneously based on data captured by a USB or IP camera.
Optional accessories such as USB cameras and telephoto lenses are also available.
PoE – Power over Ethernet
* Software license not included.
Industries using AQUAJI for operational insights
Start getting advanced analytics about your business
Audience analytics for screen based advertising and DooH
AQUAJI is the perfect solution for Digital-out-of-Home. Use our audience measurement software to add value on your ad space by delivering advertisers detailed post-campaign reporting with opportunities to see, conversions, audience demographics and more.
Audience measurement
Feed your programmatic
Provide your programmatic platforms with accurate metrics on audience demographics and ad engagement.
Adapt your ads to the audience
Continuously adjust the content that is played on-screen based on the audience attributes and business situations.
What benefits does Aquaji provide to those working in marketing, merchandising or retail media departments?
Aquaji continuously produces reliable and comparable performance indicators to assess and improve the effectiveness of your work.
BECOME A CERTIFIED RESELLER
AI and computer vision bring new perspectives to your business
- If you are involved in digital signage or retail consulting, you can offer a new range of innovative products that complement your existing offering.
- AI and business analytics industry delivers forecasted 33% annual growth for the next 10 years.
PPDS INTELLIGENT SIGNAGE SOLUTION
A screen including digital signage and computer vision insights
- The Philips P-series range of commercial screens feature a built-in Windows PC certified by Navori Labs for digital signage and operational analytics use.
- Show content based on the audience’s demographics and publish accurate proof-of-play reports that include your viewer’s metrics.
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Why use computer vision based analytics?
Computer vision-based analytics is used for a variety of reasons due to its ability to extract valuable insights and automate processes from visual data. Here are some key reasons why computer vision-based analytics is advantageous:
- Object Detection and Recognition: Computer vision enables the detection and recognition of objects, people, or specific features within images or video. This capability is valuable in various domains, such as surveillance, autonomous vehicles, quality control in manufacturing, and retail analytics.
- Data Extraction and Analysis: By analyzing images and videos, computer vision can extract valuable information and insights that might not be easily accessible otherwise. This can include analyzing customer behavior in retail environments, tracking crowd movement for safety and security purposes, or extracting data from documents and invoices for faster processing.
- Enhanced Decision Making: Computer vision analytics provides data-driven insights, enabling better decision making. For example, retailers can analyze customer demographics and behaviors to optimize store layouts or product placements. In healthcare, computer vision can assist in diagnosing diseases by analyzing medical images.
- Improved Customer Experience: Computer vision-based analytics enables businesses to personalize customer experiences. By analyzing customer behavior, preferences, and emotions captured through visual data, companies can tailor their services, recommendations, and marketing strategies to enhance customer satisfaction and engagement.
Computer vision-based systems that perform image analysis are also extremely scalable. Everything that is visible is or will be detectable. You just need to teach the software what to look for. Since Navori Labs designs its own interpretive models, scalability is guaranteed.
The data produced by these systems is very precise. AQUAJI uses VPUs, i.e. components dedicated to AI, in its edge calculation device to achieve a degree of accuracy in excess of 90%. Its performance is currently unmatched and since Navori Labs designs its own interpretive models, scalability is guaranteed.
How to choose a computer vision camera?
For starters, your camera’s image resolution must be at least 1080p.
Next you must determine the viewing angle. The wider the angle, the more people the camera can detected.Ideally you should look for a camera with a 180° viewing angle.
Lastly, you must take into account the distance between the camera and the people you want to detect. This will help you determine the size of the lens.
Choose a 4 millimeter lens to detect and recognize visitors up to 6 meters from the camera. Select a 8 millimeter lens when people are up to 12 meters away, and so on. Navori Labs offers cameras that are suitable for distances between 3 and 25 meters away, thanks to an optional telephoto lens.
Why use Aquaji computer vision software for audience measurement and retail analytics?
Computer vision is increasingly being used for audience measurement and retail analytics due to its ability to capture and analyze visual data in real-time. Here are some reasons why computer vision is advantageous for these applications:
- Accurate and Automated Data Collection: Computer vision can accurately and automatically collect data on customer behavior, such as foot traffic, dwell time, and customer demographics. Traditional methods, such as manual counting or surveys, are time-consuming, prone to human error, and may not provide real-time insights. Computer vision enables continuous data collection without human intervention.
- Detailed Customer Insights: By analyzing visual data, computer vision can provide detailed insights into customer behavior and preferences. It can track customer movements, identify hotspots within a store, analyze interactions with products, and measure engagement levels. These insights help retailers understand customer preferences, optimize store layouts, and tailor their marketing strategies.
- Real-time Monitoring and Alerts: Computer vision-based systems can monitor customer behavior in real-time and generate alerts or notifications based on predefined criteria. For example, if a queue becomes too long, the system can alert store staff to open additional checkout counters. Real-time monitoring allows retailers to respond promptly to customer needs and optimize operational efficiency.
- Queue Management and Customer Service: Aquaji software can help retailers manage queues and improve customer service. By analyzing visual data, it can estimate queue lengths, waiting times, and customer satisfaction levels. This information enables retailers to allocate resources efficiently, adjust staffing levels, and enhance the overall customer experience.
- Customer Tracking and Personalization: Computer vision can track individual customers within a store or shopping mall using techniques like object tracking or facial recognition. This enables personalized marketing and targeted advertising based on customer preferences and behavior. Retailers can offer customized recommendations, promotions, or discounts to enhance customer engagement and increase sales.
Computer vision-based audience measurement and retail analytics provide retailers with valuable insights into customer behavior, enabling them to make data-driven decisions, optimize operations, and deliver personalized experiences. It helps retailers improve customer satisfaction, increase sales, and stay competitive in the dynamic retail industry.
How accurate is AQUAJI?
AQUAJI can detect silhouettes and vehicles at more than 99% accuracy. When a person’s face is visible for at least half a second, our software will detect the visitor’s length of stay, age and gender. When all these conditions are met, detection is at least 90% accurate.
How can Aquaji and Navori's QL Digital Signage software work together?
Aquaji and Navori’s QL Digital Signage software can work together to enhance the capabilities of your digital signage solution. Here’s how their integration can benefit you:
- Audience Analytics: Aquaji can be integrated with Navori’s QL Digital Signage software to provide advanced audience analytics. Aquaji’s computer vision algorithms can capture data on audience demographics, dwell time, attention, and engagement in front of the digital signage. This information can then be integrated into the QL Digital Signage software, allowing you to analyze and measure the effectiveness of your content in real-time.
- Content Personalization: By combining Aquaji’s audience analytics with Navori’s QL Digital Signage software, you can deliver personalized content to your audience. Aquaji’s demographic analysis can identify the age range and gender of individuals, which can be used to trigger specific content or targeted advertisements through the QL Digital Signage software. Personalization enhances the viewer experience, increases engagement, and improves the relevance of your messaging.
- Dynamic Content Optimization: Aquaji’s real-time analytics and Navori’s QL Digital Signage software can enable dynamic content optimization. Based on Aquaji’s audience metrics, the QL Digital Signage software can automatically adjust the content displayed on the screens. For example, if Aquaji detects a decrease in engagement or attention, the QL software can trigger a content change to maintain viewer interest.
- Data-driven Decision-making: The integration between Aquaji and Navori’s QL Digital Signage software provides you with comprehensive data for data-driven decision-making. By analyzing the audience metrics captured by Aquaji and combining them with other data sources in the QL software, you can gain valuable insights into the performance of your digital signage campaigns. This helps you optimize content, scheduling, and overall strategy to achieve better results.
- Centralized Management: Navori’s QL Digital Signage software offers centralized management of your digital signage network. It allows you to control and schedule content across multiple screens and locations. By integrating Aquaji’s audience analytics, you can access all the analytics data within the same centralized platform, providing a unified view of both content management and audience insights.
The integration of Aquaji and Navori’s QL Digital Signage software empowers you to deliver targeted, personalized content, optimize campaigns in real-time, and make data-driven decisions to maximize the effectiveness of your digital signage solution.