Dallmeier expands its line 5000 with a modular camera with H.265 and Artificial Intelligence

The MDF5250HD-DN model offers, at the encoder level, la capacidad de clasificación de objetos, incluso bajo malas condiciones de luz. Besides, permite una reducción de datos gracias a la compresión de vídeo H.265. Un sistema idóneo para espacios reducidos.

Dallmeier Electronic ha presentado el último modelo de la serie de cámaras 5000, el sistema modular MDF5250HD-DN, que dispone de óptimas características Low-Light, lo que garantiza una alta resolución de detalle y fidelidad en el color, incluso bajo malas condiciones de luz.

La capacidad de clasificación de objetos la ofrece a nivel de codificador. Besides, permite una reducción de datos gracias a la compresión de vídeo H.265.

Comparada con modelos convencionales, la MDF5250HD-DN ofrece ventajas considerables en cuanto a discreción, requerimiento de espacio y flexibilidad, al estar separados la carcasa del codificador y el sensor.

Dada la carcasa ultra compacta del sensor, It can even be installed in the smallest spaces. Among its possible fields of application are, For example, cajeros automáticos, retail or gas stations.

The camera has both day mode and night mode. If HDR mode is activated, the sensor operates within a dynamic range of up to 120 dB. This allows, in combination with the high light sensitivity of 0.002 lux and image processing, sharp images with high contrast as well as maximum resolutions of detail and color fidelity, incluso bajo condiciones de luz difíciles.

The MDF5250HD-DN provides frame rates of up to 100 FPS with a resolution of 1080p (Full HD), which usually requires high bandwidths and large storage space capacities.

Thanks to H.265 video compression, the data rate is reduced by up to a 50% compared to H.264, without loss of resolution or image quality. Its use in combination with Dallmeier recording systems allows reducing network and storage loads.

In addition to the low data rate, the encoder technology also offers significantly more powerful object classification. Only after a short learning phase, the camera-level integrated neural networks allow a more effective use of video analysis functions. This makes the evaluation of the results of analysis functions, such as Tamper Detection, Line Crossing or Intrusion Detection, more efficient.