7 Conclusion

We have developed a tool for faint sources detection in ISOCAM data, which proved to be particularly well adapted for the detection of sources at the few tens of $\mu$Jy level in the presence of glitches with memory effects. We created simulated datasets in order to test the robustness of the technique and found a quantitative way to estimate the quality of the source lists extracted from deep surveys, while the signal-to-noise ratio alone would be misleading. We applied this technique to a simulation of the ISO-HDF North and found that the completeness limit at 15 $\mu$m is 100 $\mu$Jy with 2% of false detections due to remnant glitches. New results already obtained with PRETI will follow this paper in the near future.