The quality of bone can impact the precision of implant placement, hence determining both the quantity and quality of bone prior to the surgery is very critical in implant placement. In recent years, the computer-assisted implant placement system (CAIS) technology has been established, which may be classified as static or dynamic. Literature illustrated higher accuracy in both static and dynamic than the freehand placement. Although the accuracy of implant placement utilizing a CAIS has been demonstrated the improve result, the accuracy of implant placement using a dynamic CAIS in different bone conditions remains uncertain. As a result, the purpose of this study was to examine how bone density impacts implant placement with Dynamic CAIS. According to this study overall’s design, a single doctor plans each implant using a CBCT scan of a jaw model and performs a mock surgery and implant delivery on a maxilla edentulous model, while performing dynamic CAIS in varied bone densities. The placement and axis of the implant were compared to the virtual plan to verify the deviation. One-way ANOVA and Welch test were used to determine differences between groups, the Post Hoc test (Tukey HSD) was used to determine differences within groups, The Pearson correlation coefficient was used to assess the relationship between each bone density and implant accuracy parameters. with a 0.05 significant level. No significant difference was found between the four groups of bone in all parameters; the angular deviation (p=0.308), the implant 3D platform deviation (p=0.459), and the 3D apex deviation (p=0.068). Nonetheless, the lowest bone density group (D 4) showed the largest deviation, hence there was a statistically negative correlation between the bone density and apex deviation (P=0.020). No statistically significant correlation was found in angular and 3D platform deviation. The effect of the bone condition on implant placement accuracy with dynamic computer-guided surgery is statistically unaffected within the limitation of this study; however, low bone density may be a risk factor that affects implant placement precision.