![Product benchmark Note: All Cameras were installed under the same environmental conditions. AE were set to the default value, bit rate were set at 4000kbits(max) VBR H.264 Messoa 2MP H.264 Brand “A” 2MP H.264 Brand “V” 2MP H.264 *disable the IR ,[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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- 1. Take a Look at THIS MESSOA in side-by-side comparisons
- 3. Specification comparison MESSOA NDF821 A brand AV2155DN V brand FD8161 Sensor + DSP 1/3" 2M CMOS sensor TI DM365 1/2" 2MP CMOS sensor Arecont® DSP 1/3.2" 2MP CMOS sensor TI DM365 resolution HD 1920X1080 @15 fps 1600x1200 @24Fps 1600x1200 @15fps Day & Night ICR ICR ICR Lens 3-9mm F1.2 4.5-10 F1.4 3-9mm F1.2 Compression H.264 H.264 H.264 Bit rate setting 4000 VBR 4000 VBR 4000 VBR AE Factory default Factory default Factory default
- 6. SUNNY DAY, Clear Sky 12:07PM @ CHINO, CA
- 7. Ghost image issues Brand “A”
- 8. White Balance issue Brand “V”
- 11. NIGHT, Clear Sky 10:06PM @ CHINO, CA
- 12. Brand “A” 1 3 2 4
- 13. Brand “V” 1 3 2 4
- 14. MESSOA 1 3 2 4
- 15. NDF831 Lumii Technology Brand “V” Brand “A” 1 3 2 4
- 16. H.264 recording & storage efficiency
- 17. Noise increases storage and bandwidth requirements
- 18. Storage comparison Note: 8186 keep dropping video We got 40sec video 9.74MB 60sec app:9.74x1.33=12.95MB All cameras recorded under the same conditions. Model 1 min video 12 hours video size Messoa NDF821 6.87MB 4946.40MB 1X Brand “V” 12.95MB 9324.00MB 2X Brand “A” 30.80MB 22176.00MB 4.4X
- 19. MESSOA IP Cameras for all lighting conditions
- 23. Shadow issues
- 24. Digital WDR enable WDR on – level II
- 25. Digital WDR enable WDR on – level IIII
- 26. EV Compensation Brightness VS +1 Brightness +1 EV +2 EV +2 Brightness Adding brightness does not increase detail. The longer the exposure time, the more detail in the image. EV compensation
- 27. VS -1 Brightness -1 EV -2 EV -2 Brightness The shorter the exposure time, the more information in the overexposure portions! EV Compensation Brightness Decreasing the brightness does not increase image information in the overexposure portion EV compensation
- 28. Selectable spot metering Target Exposure control
- 29. What else we can do?
- 31. ROI (Region of Interest) Save storage and bandwidth Record higher bit-rate Video or image Record lower bit-rate video or image
- 32. Blur/Tamper Detection alarm Snapshot/ video . E-mail . SD card . FTP
- 33. Voice detection Voice Wave alarm Snapshot/ video . E-mail . SD card . FTP
- 34. Smart Focus A built-in nine-point focus indicator helps the camera focus precisely on objects. It helps focus on object quickly.
- 35. 2MP Full HD1080 advantage
- 36. 2 MP 1920 X 1080 1.3 MP 1280 X 1024 VGA 640 x 480
- 37. 1 Megapixel 2 Megapixel
- 38. Full HD H.264 network cameras line up
- 39. simulation image NDF820 Simple, standard 4mm Fixed Lens Digital day/night PoE Indoor vandal dome NDF821 Performance 3-9mm F1.2 vari-focal Lens ICR day/night PoE SD card Smart detection Alarm I/O
- 40. Outdoor vandal-proof, IP67 NDF831 Performance 3-9mm F1.2 vari-focal Lens ICR day/night PoE SD card Smart detection Alarm I/O NCR870 Performance 3.1mm F1.4 Fixed Lens PoE 20M/ 66 ft. IR distance Sunshield with rain guard
- 42. Applications
- 45. “ experience MESSOA, experience reliability”.
Notas del editor
- Each pixel in a camera sensor contains one or more light sensitive photodiodes which convert the incoming light (photons) into an electrical signal which is processed into the color value of the pixel in the final image. If the same pixel would be exposed several times by the same amount of light, the resulting color values would not be identical but have small statistical variations, called " noise ". Even without incoming light, the electrical activity of the sensor itself will generate some signal, the equivalent of the background hiss of audio equipment which is switched on without playing any music. This additional signal is "noisy" because it varies per pixel (and over time) and increases with the temperature, and will add to the overall image noise . It is called the " noise floor". The output of a pixel has to be larger than the noise floor in order to be significant (i.e. to be distinguishable from noise ). Source: dpreview.com