Midv-720

If you’d like, I can: produce a short experiment plan using MIDV-720 to test a mobile OCR pipeline, outline a lightweight data-augmentation recipe tailored to the dataset, or draft code snippets for loading annotations and computing homographies. Which would you prefer?

These datasets are widely used in computer vision research for training and benchmarking algorithms to recognize identity documents (passports, IDs, and licenses) via smartphone cameras. Semantic Scholar What is MIDV?

The MIDV series (like MIDV-500, MIDV-2019, and MIDV-2020) provides researchers with a way to test document recognition software without violating privacy laws. Smart Engines

: To advance field recognition, text line extraction, and fraud prevention for mobile identity verification. Privacy-Safe : Instead of real people's data, the datasets use "mock" documents containing artificially generated faces (often created via ) and fake text field values. midv-720

: Each entry typically consists of video clips, scans, and photos of documents from various countries (e.g., Albania, Spain, Russia, and Greece) captured under different lighting and distortion levels. ResearchGate Likely Origin of "midv-720"

While "720" is not a primary dataset title (like 500 or 2020), it likely refers to: Video Resolution : A subset of the video data captured at 720p resolution

(1280x720), which is a common benchmark for mobile-based real-time recognition. Specific Index If you’d like, I can: produce a short

: An individual video clip or document ID labeled "720" within the larger databases. Researchers from institutions like the Moscow Institute of Physics and Technology and companies like Smart Engines are the primary contributors to this work. for working with these datasets or more technical benchmarks

Датасеты документов MIDV, DLC - Smart Engines

| Specification | Value | |---|---| | Sensor Size | 1/3″ progressive‑scan CMOS | | Pixel Size | 2.0 µm | | Dynamic Range | ~ 55 dB (typical) | | Compression | H.264 (baseline/main), H.265 (HEVC) | | Bitrate | 512 kbps – 4 Mbps (adjustable) | | Audio | Built‑in mic (optional) – 8 kHz mono | | IR LEDs | 8 × 850 nm LEDs | | Power Consumption | 5 W (max, PoE) | | Mounting Options | Wall/ceiling bracket, V‑bolt, magnetic base (optional) | | Software SDK | C/C++, REST API, ONVIF Profile S/G | | Security | TLS 1.2/1.3, AES‑256 encryption, optional two‑factor login | MIDV-720 is a public dataset created for research

| Test | Conditions | Result | |------|------------|--------| | Resolution & Detail | Indoor office lighting, 30 fps, H.265 2 Mbps | Clear facial features at ≤ 5 m, text legible up to 2 m. | | Low‑Light / Night Vision | Complete darkness, IR mode, 10 m range | Acceptable grayscale detail; noticeable IR “washout” beyond 6 m, some noise at edge of range. | | Motion Detection Accuracy | Simulated human movement at 3 m, 0.5 m/s | 96 % true‑positive, 3 % false‑positive (caused by pets or shadows). | | Network Load | 4 Mbps continuous stream (H.264), 10 cameras on 1 GbE switch | No packet loss; PoE budget within 60 W limit. | | Weather Resistance | Outdoor enclosure, rain (10 mm/h), 35 °C | No ingress, video quality unchanged. | | Latency | Live view via mobile app (Wi‑Fi backhaul) | 250 ms average end‑to‑end latency. |

Overall Rating (out of 10): 7.4 – strong for its class; the biggest weakness is limited low‑light performance relative to newer 1080p/4K units.

MIDV-720 is a public dataset created for research on document image processing and visual information extraction. It focuses on real-world conditions and privacy-preserving scenarios, making it especially useful for developing and evaluating robust OCR, document detection, layout analysis, and identity-document recognition systems.

Estimated installation time per unit: 12–15 minutes (including cable routing).

| ✅ | Description | |----|-------------| | Affordability | $79‑$85 per unit; lower total cost of ownership. | | Robust Build | IP66 enclosure + PoE simplifies wiring and protects against weather. | | Flexible Compression | H.265 reduces bandwidth/storage by ~ 40 % compared with H.264. | | Basic Analytics | Motion, line‑crossing, tamper detection cover most security policies. | | ONVIF Compatibility | Works with virtually any VMS/NVR. | | Easy Setup | Web UI and mobile app are intuitive; firmware updates OTA. |