Indoor Analytics
Counting In/Out
People counting with a camera involves using computer vision techniques to detect and count individuals in a given area. This technology is widely used in various applications such as retail analytics, crowd management, security, and transportation.
RealTime Occupany
Real-time occupancy refers to the immediate and up-to-date information about the number of people or the utilization of a space, such as a room, building, facility or shopping areas.
Conversion Factor
The conversion factor from visitors to sales is the heartbeat of your business. It measures how effectively you turn interest into action, revealing the strength of your customer journey and the ROI of your efforts. Optimizing this metric isn’t just about numbers—it’s about unlocking growth and maximizing potential.
People Flow
People flow in a shop area refers to the movement and behavior of customers within a retail space. Understanding and optimizing people flow is critical for retailers to enhance the customer experience, improve sales, and streamline operations.
Heatmaps
Shop heatmaps are your window into customer behavior. By visualizing where shoppers go, stop, and engage, they reveal hidden opportunities to optimize layouts, boost sales, and create unforgettable shopping experiences.
Queue Analytics
Queue analytics turn waiting time into winning strategies. By tracking customer flow and wait times, they help you optimize operations, reduce frustration, and deliver faster, smoother experiences that keep customers coming back.
Age And Gender
Age and gender counting unlock the power of personalized insights. By understanding who your customers are, you can tailor experiences, refine marketing strategies, and create products and services that truly resonate with your audience and consumers.
Face recognition
Face recognition tools redefine security and personalization. By instantly identifying individuals, they enhance safety, streamline processes, and deliver tailored experiences—all while setting new standards for efficiency and innovation.
Blur Functionality
The AI blur functionality in videos, both online and offline, uses artificial intelligence to automatically detect and blur specific objects, faces, or areas within a video. This is commonly used for privacy protection, content moderation, or focusing attention on certain elements. The AI identifies the target areas (e.g., faces, license plates, or sensitive content) and applies a blur effect that can be adjusted for intensity and precision. Online platforms often use this feature in real-time streaming, while offline tools allow users to manually or automatically blur content during editing. This technology is widely used in surveillance, social media, and video production.
