DETECTION TROUBLE SHOOTING

🎯How to identify different sources of errors and know how to react in "worst-case scenarios" to resolve common detection problems? 1️⃣Available for 1 year. 🔊English audio and subtitles translated into French. 🛜LIVE session with Q&A at the end. 📆Wednesday, October 1 ⌚7 PM 📝SUMMARY: ⏺ How to evaluate performance. ⏺ Understanding a true positive/negative and a false positive/negative. ⏺ "Optimal" and "complicated" scenarios explained with a flowchart. ⏺ Causes of the most common problems. ⏺ Clear algorithms for dealing with different errors. ⏺ Differences between a learning dog and an expert, in the use of "reset." Summary: This Kynotec webinar presents algorithms for solving problems encountered by detection dogs. A brief introduction is given to the outcome quadrants (true positive, true negative, false positive, false negative), which serve as the basis for evaluating canine performance. In the "best" scenario, the ideal course of a successful search is illustrated in detail by a flowchart: starting signal, search, discovery, and correct indication behavior. The "worst" scenario systematically analyzes the various sources of error, including false positives and false negatives, as well as errors made during the search itself. Detailed flowcharts illustrate the different types of errors, their possible causes, and corresponding corrective measures. This webinar thus offers a structured method for error analysis and optimization of the detection dog training process, based on clearly defined algorithms for different scenarios.