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Midv720 2021 Link Instant

The primary dataset associated with 2021 in this field is MIDV-2020, which was published in July 2021 and is often cited in research from that year. It is the first comprehensive large-scale dataset for complex identity document analysis, featuring 1,000 unique mock identity documents and over 72,000 annotated images. Core Components of MIDV Research (2021)

The MIDV series, developed by researchers from institutions like the Institute for Systems Analysis of the Russian Academy of Sciences and Smart Engines, focuses on the following tasks:

Document Analysis: High-accuracy detection and localization of document boundaries (quadrangles) in video frames.

OCR & Text Field Recognition: Benchmarking systems like Tesseract for extracting data from textual fields and Machine Readable Zones (MRZ).

Face Detection: Evaluating algorithms for locating faces on various document types.

Liveness & Authenticity: Detecting "rebroadcast attacks" or photocopies versus original documents, a topic specifically addressed by the DLC-2021 (Document Liveness Challenge) which utilized the MIDV-2020 collection. Dataset Characteristics

Researchers use these datasets because real identity documents are protected by privacy laws. The MIDV datasets use "mock" documents that simulate real-world conditions:

I notice you’re referencing MIDV-720, a Jav title released in 2021.

To give you a detailed post about it, here’s a structured breakdown based on available data from Jav databases and reviews:

Tips

  • Use cross-validation due to modest dataset size.
  • Leverage transfer learning from large scene text and document datasets.
  • Combine MIDV-720 with other ID datasets for robustness.
  • Be cautious about real-person data and legal/ethical implications when using face or ID info.

2️⃣ Connectivity & Integration

| Interface | Details | |-----------|----------| | USB‑C 3.2 Gen 2 (10 Gbps) | Plug‑and‑play to PC, Mac, Linux, or Android host. Supports UVC class – no drivers needed. | | HDMI 2.0 (4 K @ 30 fps pass‑through) | Allows the camera to be used as a video source for external monitors or capture cards while still outputting its native 720p stream. | | Wi‑Fi 6 (802.11ax) | 2.4 GHz/5 GHz dual‑band for wireless streaming to cloud platforms (OBS, Zoom, Teams). | | Bluetooth 5.2 | Remote control (start/stop, zoom, preset focus) via companion mobile app. | | Ethernet (RJ‑45, 1 GbE) | Optional PoE‑in for stable wired deployments in conference rooms or kiosks. | | 3.5 mm microphone jack + built‑in dual‑directional mic array | Capture clear audio without external gear; optional external mic for pro‑audio setups. | midv720 2021

1. Liveness Detection

The most common use case. By studying the "Presentation Attack" videos (replays/prints), AI models learn to distinguish a real plastic ID from a screen or paper fake. The 2021 dataset is unique because it includes moiré patterns—the wavy lines that appear when filming a screen—which are a dead giveaway of a replay attack.

Conclusion: The Legacy of MIDV720 2021

As of 2025, MIDV720 2021 remains a foundational benchmark for identity verification technology. It bridged the gap between controlled lab scans and chaotic mobile reality.

For developers currently building an ID scanning SDK, referencing MIDV720 2021 in your validation pipeline is standard practice. It forces your model to handle the three killers of mobile verification: motion, glare, and replay attacks.

If you are sourcing data for a fintech or travel project, acquiring a license for MIDV720 2021 is a non-negotiable step toward achieving compliance with regulatory standards (like iBeta Level 2 liveness certification). It may be three years old, but the challenges it introduced—particularly the presentation attack vectors—define how we secure digital identity today.

Next Steps: Review the official MIDV dataset changelog for 2021 to understand frame extraction protocols, or explore the recent "MIDV-2022" update which ups the resolution to 1080p for modern devices.

Disclaimer: This article is for educational and research purposes. Access to the MIDV720 2021 dataset requires adherence to the original authors' licensing agreements.

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The MIDV-720 (2021 Edition) is a mid-range 720p network video camera designed to provide a balance between affordability and essential security features for small businesses and residential use. Released as part of a push for accessible surveillance technology, this model focuses on reliable performance in standard lighting conditions and ease of installation. Key Specifications and Hardware The 2021 version of the The primary dataset associated with 2021 in this

includes several core hardware features intended for consistent monitoring:

Resolution: Native 720p HD video output, providing sufficient clarity for general area monitoring.

Power over Ethernet (PoE): Supports PoE connectivity, allowing both power and data to be transmitted via a single Ethernet cable, which simplifies the setup process.

Night Vision: Equipped with infrared (IR) LEDs to facilitate visibility in complete darkness, making it suitable for 24/7 surveillance.

Durability: While primarily aimed at indoor use, it is often deployed in semi-controlled outdoor environments due to its sturdy build quality. Core Functionality and Software Beyond the hardware, the

incorporates standard smart features that were common in 2021 security lineups:

Motion Detection: Users can configure specific zones to trigger alerts when movement is detected, reducing unnecessary notifications.

Basic Analytics: The camera includes entry-level onboard analytics to help identify simple patterns and movements.

Compatibility: It typically integrates with standard Network Video Recorders (NVRs) and mobile apps for remote viewing. Performance Review and Use Cases In real-world applications, the Use cross-validation due to modest dataset size

is noted for its reliability in indoor settings like retail stores or home hallways.

Strengths: It is highly cost-effective and performs well in well-lit environments. The inclusion of PoE is a significant advantage for users who want to avoid the instability of Wi-Fi-based cameras.

Limitations: Compared to modern 1080p or 4K units, it lacks fine detail at long distances. Its low-light performance, while functional via IR, does not feature the advanced AI-driven noise reduction found in more expensive contemporary models.

For those looking for a "no-frills" security solution that prioritizes stability over high-resolution imagery, the

remains a viable legacy choice from the 2021 era. It is best suited for users who need a solid, hardwired connection and basic detection capabilities without the high price tag of high-definition flagship cameras.

Licensing

  • Check the included LICENSE or README for permitted use. Many research datasets allow academic use; commercial use may be restricted.

How to Find the Exact Product or Specification

If you need precise technical data for midv720 2021, follow these steps:

  1. Check the component label – Look for a full part number, date code, and manufacturer logo.
  2. Search with wildcards – Use "MIDV720" or "MID V720" in technical datasheet aggregators (Octopart, FindChips, Alldatasheet).
  3. Contact the original seller – If from a kit or machine, reach out to the equipment vendor.
  4. Use image search – Upload a photo of the label to Google Images or Baidu.

What is MIDV720?

Before focusing on the 2021 iteration, it is essential to understand the acronym. MIDV stands for Mobile Identity Document Video.

The MIDV series is a family of datasets specifically designed to evaluate the performance of mobile document capture systems. Unlike static image datasets (e.g., a single scanned photo of a passport), MIDV datasets consist of video streams. These videos simulate a real-world user holding a smartphone over an ID document (passport, driver’s license, ID card) while the camera auto-focuses, deals with glare, and experiences motion blur.

The "720" in the name refers to the video resolution: 720p (1280x720 pixels). In the context of mobile verification, 720p represents a balance between processing power and visual fidelity, typical of mid-range smartphones used by the general public.