A doorway counter, which detects a person underpass at a room entry/exit, may be the most accurate type of occupancy counters used in buildings. An occupancy counter, which uses a low-resolution IR-imager and ??Raspberry Pi board has been constructed. The imager provides only 8 x 8 pixels initial resolution, but it has been enhanced using two-dimensional interpolation. Due to the low absolute accuracy in temperature measurements, the imager is set to measure temperature difference between a target and background. Signal-to-noise ratio is also increased using discrete two-dimensional convolution ????filtering. The blob detection and tracking algorithm deduces the direction of an occupant and finally increments or decrements the counter. A heat signature varies between people and depends on person’s clothing. An on-board server on Raspberry Pi distributes the data via Wi-Fi to any client device in the net. The complete system includes also wireless PIR-sensors. The low-resolution IR ??occupancy counter has been compared with counters based on different ?????technologies. The benefits of a low-resolution IR-imager are privacy preservation, operation capability in total darkness, energy-efficient passive operation and a low price.
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机译：门口计数器检测房间入口/出口的人床，可能是建筑物中最准确的占用计数器类型。建立了一个占用计数器，使用低分辨率ir-imager和raspberry pi板。该成像器仅提供8 x 8像素的初始分辨率，但它已使用二维插值增强。由于温度测量的绝对精度低，成像器设置为测量目标和背景之间的温差。使用离散的二维卷积也增加了信噪比？过滤。 BLOB检测和跟踪算法推导出乘员的方向，最后增量或递减计数器。热签名在人之间变化，取决于人的衣服。 Raspberry PI上的板载服务器通过Wi-Fi将数据分发给网中的任何客户端设备。完整的系统还包括无线PIR传感器。低分辨率的IR占用计数器与基于不同的柜台的占用计数器进行了比较。低分辨率IR-imager的好处是隐私保存，全面的操作能力，节能的被动操作和低价格。
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