Apparatus for the detection of symptoms of thermal and/or mechanical anomalies that can lead to the ignition of fire, comprising: - a plurality of point sensors, for remote temperature measurement, to be installed near the area to be monitored, said sensors being arranged to superimpose their respective field of view so as to superimpose a visible image and a thermal and/or a close infrared image and allow combining the information obtained pixel by pixel, in order to identify and locate through statistical analysis the possible sources of the beginnings of the fires; - an automatic analysis system equipped with self-learning capability and able to selectively acquire and manage the different flows of visible and thermal and/or NIR images generated by the sensors, said system being able to automatically search and define the areas of interest characterised by homogeneous temperature to interact on the different areas to be monitored following any anomaly, wherein the system is equipped with suitable means a) to perform analysis in the visible range and in the thermal range and/or in the NIR; b) to perform the superimposition of the visible and thermal and/or NIR images; c) to separately examine different areas of interest, that is, separate portions of the image, corresponding to parts of a monitored plant with different functions, different critical issues, different distributions of thermal and mechanical stress and different times of activity/rest, applying different criteria and parameters of analysis to each area of interest; d) to calculate the statistics and temperature distributions for each area of interest and compare them with the recorded statistics and distributions in order to detect deviation from normal operating regimes; e) to detect for each pixel of the image the possible exceeding of alert and alarm thresholds in temperature, said thresholds being determined depending on the characteristics of the observed object and on day/nights and season conditions; f) to detect for each pixel of the image any temperature anomaly of even a few tenths of °C in relation to the trend and the typical temperature distribution of that part of the area to be monitored; g) to automatically report events related to general situations of the most common interest, as defined in the previous points c). d), e) and f); h) to carry out measurements relating to particular requirements, comprising one or more dimensional calculation of areas on alert or in alarm or the determination of a particular type of evolution or thermal trend considered dangerous in the area to be monitored. - a plurality of point sensors, for remote temperature measurement, to be installed near the area to be monitored, said sensors being arranged to superimpose their respective field of view so as to superimpose a visible image and a thermal and/or a close infrared image and allow combining the information obtained pixel by pixel, in order to identify and locate through statistical analysis the possible sources of the beginnings of the fires; - an automatic analysis system equipped with self-learning capability and able to selectively acquire and manage the different flows of visible and thermal and/or NIR images generated by the sensors, said system being able to automatically search and define the areas of interest characterised by homogeneous temperature to interact on the different areas to be monitored following any anomaly, a) to perform analysis in the visible range and in the thermal range and/or in the NIR; b) to perform the superimposition of the visible and thermal and/or NIR images; c) to separately examine different areas of interest, that is, separate portions of the image, corresponding to parts of a monitored plant with different functions, different critical issues, different distributions of thermal and mechanical stress and different times of activity/rest, applying different criteria and parameters of analysis to each area of interest; d) to calculate the statistics and temperature distributions for each area of interest and compare them with the recorded statistics and distributions in order to detect deviation from normal operating regimes; e) to detect for each pixel of the image the possible exceeding of alert and alarm thresholds in temperature, said thresholds being determined depending on the characteristics of the observed object and on day/nights and season conditions; f) to detect for each pixel of the image any temperature anomaly of even a few tenths of °C in relation to the trend and the typical temperature distribution of that part of the area to be monitored; g) to automatically report events related to general situations of the most common interest, as defined in the previous points c). d), e) and f); h) to carry out measurements relating to particular requirements, comprising one or more dimensional calculation of areas on alert or in alarm or the determination of a particular type of evolution or thermal trend considered dangerous in the area to be monitored.