The average Solink customer records 11,000 hours of video and processes 22,000 transactions each month. No one has time to search for critical snippets within this mountain of data. With Solink, 23,000+ customer locations can now conduct Live Spot Checks on their business and immediately receive AI-powered, actionable insights, streamlining decision processes and improving efficiency. All it takes is one question into a chatbot, written in everyday language.
Solink’s AI features are designed with mobility in mind. Customers can access and analyze Live Spot Checks via iOS from anywhere, allowing busy leaders to remotely check-in on any location at any time.
The best part? No additional set up is required for Solink customers to get going with Live Spot Checks. Solink’s Sidekick AI integrates with existing camera and data systems, providing valuable insights to inform operational strategies.
Solink is redefining the future of video security with GenAI
At a time of rapid global innovation, Solink is at the forefront, helping customers unlock the potential to provide powerful insights, and drive efficiencies with GenAI technology. AI has the power to transform the physical security industry by allowing users to get real-time insights within their camera network – it’s like having a dedicated team watching every camera all the time. The economy of scale of AI will allow businesses to create custom use-cases without the need for programmers or proprietary cameras.
These are the 3 pillars Solink will leverage to lead this transformation for customers:
Removing day zero configuration and tuning
Historically, computer vision applications required extensive initial configuration to achieve precision. Each camera would require a level of expertise for a human to identify an area, an object or a condition to be met. Moreover, each camera would also require ongoing tuning over time. This made traditional video analytics challenging and costly to scale en-mass. GenAI revolutionizes this approach, eliminating the need for human configuration. The model can understand the scene and adapt the way a human does without machine-based constraints like trip-wires, regions of interest, etc.
Context matters
Video is a single silo of information. Enriching video with other sources of data such as third-party integrations, meta-data, and relative camera positioning, will provide meaningful context for Large Language Models (LLMs) to make more informed decisions.
Continuous training
The best learning models will drive the highest value and improve the scale at which people depend on them. Models are trained and labeled by humans. Historically, that process has been tedious and costly. Solink’s goal is to create models that are self-training, that will learn over time, and improve accuracy through both supervised and unsupervised methods.
This will empower users to interact with their locations in real-time through the lens of their video security cameras. From broad inquiries like ‘How is my business currently operating?’ to specific questions such as ‘Are my shelves adequately stocked’ or ‘Which restaurant has the busiest drive-thru?’ – Solink Live Spot Checks deliver instant, actionable insights in seconds. Customers can now effortlessly identify key risks, resolve questions, analyze video feeds, and generate powerful insights in plain language leveraging AI.
