Smart, efficient, anonymous People Counters & Analytics to the real world.
Our solution allows for easy deployment, capture, analysis, and reporting of the number people who enter a physical place. Optionally, we can also capture and report occupancy in real time.
We assist Retailers, Universities, Casinos, Places of Worship, Office Buildings, and other industries in analyzing and taking action on their people traffic trends.
We offer a special package for retailers to measure performance on traffic, including conversion rate and service levels. Our direct integrations make it easy to combine POS data with staff data. The Retail Equation simulator lets users run simulations to improve sales. It can also be used as a learning tool to understand how traffic, staffing, conversion rates, and quality service relate.
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Elecard Boro is a professional software solution designed to monitor video stream health and track QoS/QoE parameters across distributed networks. By providing centralized access to statistics and automated reporting, Boro enables telecom professioals to build a powerful monitoring ecosystem from scratch or easily scale existing infrastructure to ensure flawless broadcast quality.
How it works:
Boro utilizes distributed software probes to monitor UDP, RTP, HTTP, HLS, DASH, SRT, and RTMP streams. By aggregating multi-point measurements on a centralized server, operators can instantly isolate quality degradation across the entire delivery chain. The platform provides network-wide visibility and real-time alerts for ETSI TR 101 290 errors via Email, SNMP, Webhook, PagerDuty, and Telegram.
Key Features:
• Rapid Deployment & Scalability: Launch a monitoring probe in just 30 minutes. Easily scale your infrastructure by adding new probes to the unified Boro ecosystem on any hardware.
• Proactive Issue Resolution: Monitor over 50 QoS and QoE parameters (including full ETSI TR 101 290 compliance) and use triggers to localize network anomalies before they impact viewers.
• Advanced Diagnostics: Use comprehensive analysis of SCTE-35 ad-insertion cues and PCAP stream recording for in-depth delivery troubleshooting.
• Effortless Integration & Access: Access monitoring data from any device via an intuitive web interface. Seamlessly integrate Boro into your existing workflow using WebHook, SNMP, and ControlAPI.
• Operational Efficiency: Reduce the workload on QA and network engineers through automated regular reporting, advanced visualization dashboards, and smart threshold tuning that eliminates false alarms.
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alwaysAI
alwaysAI offers a straightforward and adaptable platform for developers to create, train, and deploy computer vision applications across a diverse range of IoT devices. You can choose from an extensive library of deep learning models or upload your custom models as needed. Our versatile and customizable APIs facilitate the rapid implementation of essential computer vision functionalities. You have the capability to quickly prototype, evaluate, and refine your projects using an array of camera-enabled ARM-32, ARM-64, and x86 devices. Recognize objects in images by their labels or classifications, and identify and count them in real-time video streams. Track the same object through multiple frames, or detect faces and entire bodies within a scene for counting or tracking purposes. You can also outline and define boundaries around distinct objects, differentiate essential elements in an image from the background, and assess human poses, fall incidents, and emotional expressions. Utilize our model training toolkit to develop an object detection model aimed at recognizing virtually any object, allowing you to create a model specifically designed for your unique requirements. With these powerful tools at your disposal, you can revolutionize the way you approach computer vision projects.
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Eyeris
At Eyeris, we are motivated by a commitment to excellence and inspired by individuals from all walks of life, including the dedicated night-shift worker, the nurturing parent, and the ambitious entrepreneur. Our technology is designed with every driver in mind, aiming to ensure a safer and more improved driving experience for everyone. In-cabin cameras serve as the primary sensors for monitoring both drivers and passengers, while Eyeris AI Software intelligently analyzes the complete interior environment captured by these cameras. This system enhances the capability to gather data from various sensor types, ensuring high accuracy through redundant information. Ongoing advancements in hardware are enabling us to run sophisticated AI software more efficiently and at greater speeds. Our state-of-the-art vision-based neural networks deliver a comprehensive array of insights. By utilizing cutting-edge image sensors, our pre-trained vision AI models are equipped to comprehend the full in-cabin environment across a diverse spectrum of lighting conditions. As we continue to innovate, we strive to set new standards in safety and comfort for all road users.
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