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TOIVIS

TOIVIS
Launch Date: Sept. 6, 2026
Pricing: No Info
TOIVIS, AI Inspection, Quality Control, iPhone App, Visual Inspection

TOIVIS: Turn Your iPhone into an AI Visual Inspector

TOIVIS is a specialized application designed to transform an iPhone into a powerful, on-device AI visual inspection tool. It enables users to establish what normal looks like using good samples and subsequently reveal differences through detailed heatmaps. A core tenet of the application is privacy and data security. All product images and AI models remain strictly on the device. This ensures that data never leaves the phone from setup through the entire inspection history.

Benefits

TOIVIS offers several key advantages for quality control teams. First, it operates entirely locally on the iPhone. Users can train models and perform inspections without requiring an internet connection or uploading sensitive product images to a cloud service. This ensures a robust workflow even in environments with limited connectivity.

The application adheres to strict privacy standards. It uses no advertisements, tracking mechanisms, user accounts, or proprietary analytics SDKs. The app utilizes only the camera and photos explicitly selected by the user for inspection purposes. No product images, AI models, history, or usage data are sent to external operators or servers.

Another major benefit is the repeatable workflow. TOIVIS is engineered to support existing quality procedures. It brings variable visual checks into a single, consistent process. This workflow is built around good samples, region of interest definition, precise alignment, and recorded decisions.

Use Cases

The inspection process flows naturally from setup to reporting, all within one device. Users start by adding good samples. They register four to twenty images representing the normal state for each specific product. Next, they can optionally define a precise region of interest to focus the inspection on a specific area.

The app then builds an AI model of the normal state directly on the iPhone using the registered samples. After that, users capture and inspect target images. The app reviews the degree and location of any differences detected. Finally, users can keep and share records. They save results and export data in PDF reports or CSV history formats.

TOIVIS provides practical tools to ensure a controlled and effective workflow. The app automatically compensates for position, rotation, scale, and perspective before comparing the captured image against the learned normal state. If image quality or alignment is insufficient, TOIVIS prompts the user for a manual review rather than forcing an automatic pass or fail decision.

Users can choose to inspect using a saved image, capture a single image on the spot, or keep the camera open for continuous inspection. The system maintains a complete record linking the source image, heatmap, capture quality, match score, model revision, and the final decision. Users can also export reports and history data or create a product backup at their discretion.

Pricing

Pricing details are not available in the provided information.

Vibes

Public reception and specific reviews are not available in the provided information.

Additional Information

While TOIVIS offers powerful AI capabilities, users are advised that detection performance can vary based on several factors. These include the specific product, lighting conditions, camera position, the quality of the normal images, the defined region of interest, and set thresholds. Consequently, an AI result should not be used as the sole basis for a quality decision. Users must follow their organization's established quality procedures for final decisions.

TOIVIS brings visual inspection capabilities directly to the iPhone already in hand. It eliminates the need to set up dedicated servers. It offers a structured, offline, and privacy-focused solution for visual quality control. This allows teams to validate products under real operating conditions with traceable, repeatable results.

NOTE:

This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.

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