{"id":15777,"date":"2026-03-20T06:59:33","date_gmt":"2026-03-20T06:59:33","guid":{"rendered":"https:\/\/bvcoend.ac.in\/?page_id=15777"},"modified":"2026-03-20T06:59:33","modified_gmt":"2026-03-20T06:59:33","slug":"pattern-recognition-and-computer-vision-lab","status":"publish","type":"page","link":"https:\/\/bvcoend.ac.in\/index.php\/pattern-recognition-and-computer-vision-lab\/","title":{"rendered":"PATTERN RECOGNITION AND COMPUTER VISION LAB"},"content":{"rendered":"[vc_row][vc_column width=&#8221;1\/4&#8243;][vc_wp_custommenu title=&#8221;Imp Links&#8221; nav_menu=&#8221;73&#8243;][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_column_text]\n<h3 style=\"text-align: center;\"><span style=\"color: #800000;\">PATTERN RECOGNITION AND COMPUTER VISION LAB<\/span><\/h3>\n<h3><span style=\"color: #000000;\">Introduction<\/span><\/h3>\n<p><span style=\"color: #000000;\">The Pattern Recognition and Computer Vision (PRCV) Laboratory in the Department of Electronics and Communication Engineering provides practical exposure to techniques used for analyzing and interpreting visual and pattern-based data. The lab focuses on concepts such as image processing, feature extraction, pattern classification, object detection, and machine learning-based recognition systems. Students implement algorithms using tools like MATLAB and Python to perform tasks such as edge detection, image segmentation, and object recognition. The laboratory supports hands-on experiments, mini projects, and research activities, enabling students to apply theoretical concepts to real-world applications in areas such as biometrics, surveillance, healthcare imaging, robotics, and intelligent systems.<\/span><\/p>\n<h3><span style=\"color: #000000;\">Course Objectives<\/span><\/h3>\n<table style=\"width: 100%; border-collapse: collapse;\" border=\"1\">\n<tbody>\n<tr>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\"><strong>COB-1<\/strong><\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">Understand the in-depth concept of Pattern Recognition<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\"><strong>COB-2<\/strong><\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">Implement Bayes Decision Theory<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\"><strong>COB-3<\/strong><\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">Understand the in-depth concept of Perception and related Concepts<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\"><strong>COB-4<\/strong><\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">Understand the concept of ML Pattern Classification<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3><span style=\"color: #000000;\">Course Outcomes<\/span><\/h3>\n<table style=\"width: 100%; border-collapse: collapse;\" border=\"1\">\n<thead>\n<tr style=\"background-color: #f2f2f2;\">\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">CO<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">Statement<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">Bloom\u2019s Level<\/span><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\"><strong>ML411P.1<\/strong><\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">Discuss various concepts of pattern recognition<\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">Understand, Remember<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\"><strong>ML411P.2<\/strong><\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">Understanding various algorithms<\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">Understand, Create<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\"><strong>ML411P.3<\/strong><\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">Explain and apply various computer vision techniques<\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">Apply, Evaluate<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\"><strong>ML411P.4<\/strong><\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">Describe the concept of shape analysis and filtering<\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">Analyse, Evaluate<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3><span style=\"color: #000000;\">CO-PO-PSO Mapping<\/span><\/h3>\n<table style=\"width: 100%; border-collapse: collapse;\" border=\"1\">\n<thead>\n<tr style=\"background-color: #f2f2f2;\">\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">CO\/PO<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">PO1<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">PO2<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">PO3<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">PO4<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">PO5<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">PO6<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">PO7<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">PO8<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">PO9<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">PO10<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">PO11<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">PO12<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">PSO1<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">PSO2<\/span><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\"><strong>ML411P.1<\/strong><\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">&#8211;<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">&#8211;<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">&#8211;<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">&#8211;<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">&#8211;<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\"><strong>ML411P.2<\/strong><\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">&#8211;<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">&#8211;<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">&#8211;<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">&#8211;<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\"><strong>ML411P.3<\/strong><\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">&#8211;<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">&#8211;<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">&#8211;<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">&#8211;<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">&#8211;<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\"><strong>ML411P.4<\/strong><\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">3<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">&#8211;<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">&#8211;<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">&#8211;<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">2<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">1<\/span><\/td>\n<td style=\"padding: 8px; text-align: center;\"><span style=\"color: #000000;\">&#8211;<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3><span style=\"color: #000000;\"><img loading=\"lazy\" class=\"aligncenter size-full wp-image-15778\" src=\"https:\/\/bvcoend.ac.in\/wp-content\/uploads\/2026\/03\/Screenshot-2026-03-20-122742.png\" alt=\"\" width=\"381\" height=\"527\" srcset=\"https:\/\/bvcoend.ac.in\/wp-content\/uploads\/2026\/03\/Screenshot-2026-03-20-122742.png 381w, https:\/\/bvcoend.ac.in\/wp-content\/uploads\/2026\/03\/Screenshot-2026-03-20-122742-217x300.png 217w\" sizes=\"(max-width: 381px) 100vw, 381px\" \/>Facilities<\/span><\/h3>\n<h4><span style=\"color: #000000;\">Operating System \/ Software<\/span><\/h4>\n<table style=\"width: 100%; border-collapse: collapse;\" border=\"1\">\n<thead>\n<tr style=\"background-color: #f2f2f2;\">\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">Sr. No.<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">Name<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">Version<\/span><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">1.<\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">Windows<\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">10<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">2.<\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">MATLAB<\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">2022B<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">3.<\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">Jupyter<\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">Open Source<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4><span style=\"color: #000000;\">Hardware<\/span><\/h4>\n<table style=\"width: 100%; border-collapse: collapse;\" border=\"1\">\n<thead>\n<tr style=\"background-color: #f2f2f2;\">\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">Sr.No.<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">Equipment Name<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">Specification<\/span><\/th>\n<th style=\"padding: 8px;\"><span style=\"color: #000000;\">Quantity<\/span><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">1.<\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">Computer<\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">Intel Core (i5), 4th gen, 2.90 GHz, RAM-16GB<\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">20<\/span><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">2.<\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">Printer<\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">HP Laser Jet Pro P1022<\/span><\/td>\n<td style=\"padding: 8px;\"><span style=\"color: #000000;\">01<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3><span style=\"color: #000000;\">Staff<\/span><\/h3>\n<ul>\n<li><span style=\"color: #000000;\"><strong>Lab Incharge:<\/strong> Dr. Apoorva Aggarwal<\/span><\/li>\n<li><span style=\"color: #000000;\"><strong>Lab Assistant:<\/strong> Ms. Deepa<\/span><\/li>\n<\/ul>\n<h4><span style=\"color: #0000ff;\"><a style=\"color: #0000ff;\" href=\"https:\/\/drive.google.com\/file\/d\/1rQkqIDmnhDkg3S9MGgx4WKb41t4zFYaR\/view\" target=\"_blank\" rel=\"noopener noreferrer\">Click for the Lab e-Content<\/a><\/span><\/h4>\n[\/vc_column_text][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"<p>[vc_row][vc_column width=&#8221;1\/4&#8243;][vc_wp_custommenu title=&#8221;Imp Links&#8221; nav_menu=&#8221;73&#8243;][\/vc_column][vc_column width=&#8221;3\/4&#8243;][vc_column_text] PATTERN RECOGNITION AND COMPUTER VISION LAB Introduction The Pattern Recognition and Computer Vision (PRCV) Laboratory in the Department of Electronics and Communication Engineering provides practical exposure to techniques used for analyzing and interpreting visual and pattern-based data. The lab focuses on concepts such as image processing, feature extraction, pattern&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/pages\/15777"}],"collection":[{"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/comments?post=15777"}],"version-history":[{"count":1,"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/pages\/15777\/revisions"}],"predecessor-version":[{"id":15779,"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/pages\/15777\/revisions\/15779"}],"wp:attachment":[{"href":"https:\/\/bvcoend.ac.in\/index.php\/wp-json\/wp\/v2\/media?parent=15777"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}