In recent years, we’ve witnessed a surge in artificial intelligence (AI) across nearly every industry—from chatbots to self-driving cars. It’s not just a trend. It’s a paradigm shift. And here at Grep Tech, we believe that companies who don’t embrace this AI revolution now will be left far, far behind.
This is why we’re building our GT-AiVision platform around three core pillars: AI, Edge Computing, and Video Analysis. I want to take a moment to share why we chose this path, and why we believe it’s the future—not just for us, but for small businesses, security companies, and tech-forward installers alike.
1. AI Is No Longer Optional — It’s the New Standard
Whether you’re in finance, logistics, healthcare, or security—AI is becoming the engine behind smart decisions. Those who adopt it early gain a massive edge in efficiency, accuracy, and speed. Those who don’t? They risk becoming irrelevant.
We’re not talking about sci-fi or buzzwords anymore. We’re talking about real-world applications:
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Automatically detecting unauthorized access on a security camera
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Sending instant alerts when people enter restricted zones
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Monitoring occupancy, foot traffic, and more
We believe AI must be at the core of modern surveillance systems. And more importantly, we believe AI should be accessible, not just for big enterprises, but for SMEs and local providers too.
2. Edge Computing Is the Great Equalizer
Many think “AI” means big cloud infrastructure, GPUs in a data center, and massive investments in training large language models. But let’s be honest: that level of computing is out of reach for most small companies.
That’s where Edge AI comes in.
By running AI models locally, close to the camera, using powerful and compact devices like NVIDIA Jetson, we enable real-time video analysis without needing high bandwidth or costly cloud storage.
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No need for a data center
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No recurring cloud bills
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No privacy concerns about sending video off-site
Edge computing brings AI to the ground level, where real problems happen—and where small businesses have the most opportunity.
3. Video Analysis: A Real Challenge Worth Solving
Unlike text or documents, video analysis is inherently more complex. You’re dealing with movement, lighting, angles, timing—and not everything can be solved with a simple script.
Without AI, it’s nearly impossible to:
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Distinguish between a person walking by vs. loitering
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Count people entering and exiting accurately
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Filter out false alerts caused by shadows or weather
That’s why we’re focusing our energy here. Video is rich with information—but it takes intelligence to extract the value. By combining computer vision, machine learning, and practical experience in security operations, we aim to deliver AI-powered video analytics that make sense and make a difference.
Our Vision Ahead
We’re not building this just to keep up—we’re building because we believe this is the future, and we want our partners and clients to come along with us.
We know it’s not easy. AI, edge devices, real-time processing—it takes work. But we believe it’s worth it, because what we’re doing can help:
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Reduce manpower and costs
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Improve incident response times
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Turn passive CCTV into proactive intelligence
This is our mission with GT-AiVision.
Let’s not just install cameras. Let’s make them smart.
If you believe in this direction too—whether you’re a CCTV installer, security provider, or systems integrator—we’d love to connect.