{"id":"W4223932331","doi":"10.1109/accai53970.2022.9752590","title":"Theoretical Analysis of Viola-Jones Algorithm Based Image and Live-Feed Facial Recognition","year":2022,"lang":"en","type":"article","venue":"2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Artificial intelligence; Python (programming language); Viola–Jones object detection framework; Cognitive neuroscience of visual object recognition; Facial recognition system; Viola; Object detection; Automation; Face detection; Computer vision; Algorithm; Pattern recognition (psychology); Object (grammar); Engineering; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006433692,0.0001567093,0.0003622591,0.0006436578,0.000185633,0.00006293669,0.0003228684,0.0000462225,0.001230972],"category_scores_gemma":[0.0001424275,0.0001639104,0.00006396203,0.0004767446,0.0003005971,0.0001623285,0.000419771,0.0004290088,0.000004257806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001293466,"about_ca_system_score_gemma":0.00007928944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002303037,"about_ca_topic_score_gemma":0.00001291254,"domain_scores_codex":[0.9985585,0.00009990401,0.0006657835,0.0001753784,0.0003654121,0.0001350572],"domain_scores_gemma":[0.9983623,0.0006063079,0.0004351646,0.0003307793,0.0002037713,0.00006169766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000803512,0.001085679,0.003040059,0.0002235913,0.0004305881,0.000003090868,0.007342526,0.009598565,0.0007644912,0.3958184,0.0001945124,0.580695],"study_design_scores_gemma":[0.001622473,0.0001587993,0.003065434,0.0001289032,0.0001378813,0.000004400027,0.003415176,0.9809674,0.0003662694,0.007088916,0.002848608,0.0001957226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.839556,0.000748196,0.07844333,0.01584826,0.0005418543,0.002251585,0.0007676782,0.0002801545,0.06156291],"genre_scores_gemma":[0.9663555,0.0009040665,0.02902736,0.002924371,0.00001381347,0.00005671917,0.0007008757,0.000009435384,0.000007844705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9713688,"threshold_uncertainty_score":0.999682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02423540688058586,"score_gpt":0.3344533347226727,"score_spread":0.3102179278420868,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}