Vision Count AI

Turn Your Passive CCTV into a 24/7 Automated Stock Counting Auditor

In a high-volume warehouse or godown, “approximate” stock counts are a recipe for financial loss. Manual audits are slow, prone to human error, and only give you a snapshot of the past.

We developed Vision Count AI  to address this exact challenge. This AI system provides 99%+ accurate, bidirectional stock counting by overlaying the robust AI engine onto your existing CCTV infrastructure.

We are not inviting you for experiments. Explore a ready-to-deploy automated stock counting solution that can be operational on your production floor in as little as 90 days.

Skip the AI R&D Risk

Deploy a Floor-Tested Predictive Maintenance System in 90 Days

Vision Count AI

Turn Your Passive CCTV into a 24/7 Automated Stock Counting Auditor

In a high-volume warehouse or godown, “approximate” stock counts are a recipe for financial loss. Manual audits are slow, prone to human error, and only give you a snapshot of the past.

We developed Vision Count AI  to address this exact challenge. This AI system provides 99%+ accurate, bidirectional stock counting by overlaying the robust AI engine onto your existing CCTV infrastructure.

We are not inviting you for experiments. Explore a ready-to-deploy automated stock counting solution that can be operational on your production floor in as little as 90 days.

Building a predictive maintenance system from scratch is a gamble. Most companies spend 12 to 18 months hiring data scientists and experimenting with models, only to find they don’t survive the “noise” of a real production floor.

At ThirdEye Data, we’ve already done the hard work. We aren’t asking you to fund an experiment; we are offering a floor-tested AI engine for predictive maintenance that is already protecting margins in active industrial environments.

The Business Problem: The High Cost of "Blind Spots"

In fast-moving and high-volume warehousing, godowns, and production lines, “near-enough” isn’t good enough. The businesses that are still relying on manual counting and passive security cameras are likely facing:

  • Invisible Revenue Leakage: Without bidirectional tracking at every gate, stock “disappears” during loading and unloading. These small errors compound into massive year-end deficits.

  • The “Audit Shutdown” Drain: Auditor-dependent stock reconciliation requires a 24-48-hour halt in operations. Every hour your floor is closed for a manual count is an hour of lost revenue.

  • The “Expert” Fatigue: Human auditors get tired. At the 2,000th bag, accuracy drops. Manual counting is inherently unscalable and prone to expensive human bias.

  • Underutilized Infrastructure: Your current CCTV is likely a “sunk cost”; it records theft after it happens but does nothing to prevent inventory errors in real-time.

Don't buy a pitch. See your own data in action.

The Value Proposition of Vision Count AI: Real-Time Stock Audit & Loss Prevention

VisionCount AI turns the factory floor’s passive video feeds into a 24/7 automated auditor. Our solution adds immediate value by addressing the three pillars of industrial profitability:

  • Bidirectional Certainty: Our system tracks movement in both directions. If a bag is added, the count goes up. If it’s removed, the count reflects it instantly. You get a live, true-state inventory, 24/7.

  • Lower TCO (Total Cost of Ownership): We don’t require a “rip-and-replace.” By leveraging your existing RTSP/CCTV infrastructure, we minimize new investment and accelerate your ROI.

  • Depth-Based Accuracy: Using our “Quantity Count Pro” mode, we use depth estimation to predict hidden sacks in dense, multi-layer piles. We see the stock your manual auditors miss.

  • Digital Audit Trail: Every count is timestamped and backed by an annotated video. Resolve vendor disputes in seconds with visual evidence, not spreadsheets.

8 Modes of Execution: One Platform for the Entire Operation

We know that warehouses are dynamic. You need different logic for a truck loading bay than you do for a static pile. We have developed 8 specialized modes to ensure 100% coverage:

  1. Godown Mode: Automated gatekeeping with daily resets to track inflow vs. outflow.

  2. Static Pile Mode: Instant audits of stationary warehouse stock with one scan.

  3. Conveyor Mode: High-speed counting for production lines and fast-moving loads.

  4. Quantity Count Pro Mode: Advanced depth-logic for counting hidden sacks in multi-layer stacks.

  5. Multi-CCTV Grid Mode: A unified “Command Center” view of multiple cameras simultaneously.

  6. Zone Intelligence Mode: Monitor specific “High-Risk” areas (like Loading Docks) while ignoring background movement.

  7. CCTV Live Mode: Real-time, 24/7 monitoring of the floor with instant WebSocket updates.

  8. Scanning Mode: Precision verification for dynamic video footage and mobile recording.

Get the full technical breakdown. Take a closer look on this AI solution.

Answering Some Common Business Asks

What is the actual accuracy?

Our models are floor-tested to 99%+. More importantly, we provide the annotated video proof for every single count, ensuring total audit transparency.

How secure is our floor data?

We offer full on-premise installation. Your video feeds never have to leave your internal network, ensuring 100% data privacy and security.

What if our warehouse is dimly lit or dusty?

Our models are floor-tested. We use pre-processing filters to ensure high accuracy even in typical industrial environments where lighting isn't perfect.

How does it handle overlapping or stacked bags?

This is where our engineering shines. We use depth-estimation algorithms specifically designed to predict hidden volumes in stacks that are not fully visible to the camera.

Do we need to replace our current cameras?

No. If your cameras support a standard RTSP stream (which 95% of industrial CCTVs do), we can plug in and start the model training immediately.

What video formats are supported?

The Vision Count AI system supports MP4, AVI, MOV for uploads and RTSP streams for live feeds. Images support JPG, PNG, and WebP.

How many cameras can run simultaneously?

The Multi-CCTV mode supports multiple concurrent camera feeds with independent counting per camera and aggregated totals.

What types of objects can it count?

Primarily designed for jute bags, boxes, and sacks, but the model can be trained for any object type like pallets, bottles, etc.

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