IVOD_ID |
160050 |
IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/160050 |
日期 |
2025-04-10 |
會議資料.會議代碼 |
委員會-11-3-36-8 |
會議資料.會議代碼:str |
第11屆第3會期司法及法制委員會第8次全體委員會議 |
會議資料.屆 |
11 |
會議資料.會期 |
3 |
會議資料.會次 |
8 |
會議資料.種類 |
委員會 |
會議資料.委員會代碼[0] |
36 |
會議資料.委員會代碼:str[0] |
司法及法制委員會 |
會議資料.標題 |
第11屆第3會期司法及法制委員會第8次全體委員會議 |
影片種類 |
Clip |
開始時間 |
2025-04-10T09:56:28+08:00 |
結束時間 |
2025-04-10T10:06:13+08:00 |
影片長度 |
00:09:45 |
支援功能[0] |
ai-transcript |
video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/127fafa562dc9712df0233f15acde054803d2cc4ed61730772c2a43b2ce79c508b571ebbc9e398835ea18f28b6918d91.mp4/playlist.m3u8 |
委員名稱 |
王義川 |
委員發言時間 |
09:56:28 - 10:06:13 |
會議時間 |
2025-04-10T09:00:00+08:00 |
會議名稱 |
立法院第11屆第3會期司法及法制委員會第8次全體委員會議(事由:邀請司法院副秘書長、法務部部長、法務部矯正署、內政部警政署、內政部移民署、海洋委員會海巡署率所屬相關單位列席就「法院作成『略式裁定』之依據、理由、法定程序、救濟方式,與科技設備監控處分變更、延長或撤銷之標準,並就執行現況,提供相關統計數據與策進作為」進行專題報告,並備質詢。) |
transcript.pyannote[0].speaker |
SPEAKER_00 |
transcript.pyannote[0].start |
0.03096875 |
transcript.pyannote[0].end |
3.49034375 |
transcript.pyannote[1].speaker |
SPEAKER_01 |
transcript.pyannote[1].start |
18.28971875 |
transcript.pyannote[1].end |
23.20034375 |
transcript.pyannote[2].speaker |
SPEAKER_00 |
transcript.pyannote[2].start |
21.95159375 |
transcript.pyannote[2].end |
24.12846875 |
transcript.pyannote[3].speaker |
SPEAKER_00 |
transcript.pyannote[3].start |
29.22471875 |
transcript.pyannote[3].end |
29.88284375 |
transcript.pyannote[4].speaker |
SPEAKER_01 |
transcript.pyannote[4].start |
30.42284375 |
transcript.pyannote[4].end |
40.14284375 |
transcript.pyannote[5].speaker |
SPEAKER_01 |
transcript.pyannote[5].start |
40.37909375 |
transcript.pyannote[5].end |
42.42096875 |
transcript.pyannote[6].speaker |
SPEAKER_01 |
transcript.pyannote[6].start |
42.65721875 |
transcript.pyannote[6].end |
47.70284375 |
transcript.pyannote[7].speaker |
SPEAKER_01 |
transcript.pyannote[7].start |
48.63096875 |
transcript.pyannote[7].end |
50.35221875 |
transcript.pyannote[8].speaker |
SPEAKER_01 |
transcript.pyannote[8].start |
51.68534375 |
transcript.pyannote[8].end |
53.03534375 |
transcript.pyannote[9].speaker |
SPEAKER_01 |
transcript.pyannote[9].start |
53.18721875 |
transcript.pyannote[9].end |
56.05596875 |
transcript.pyannote[10].speaker |
SPEAKER_00 |
transcript.pyannote[10].start |
59.21159375 |
transcript.pyannote[10].end |
59.39721875 |
transcript.pyannote[11].speaker |
SPEAKER_00 |
transcript.pyannote[11].start |
59.63346875 |
transcript.pyannote[11].end |
61.84409375 |
transcript.pyannote[12].speaker |
SPEAKER_01 |
transcript.pyannote[12].start |
62.63721875 |
transcript.pyannote[12].end |
63.37971875 |
transcript.pyannote[13].speaker |
SPEAKER_00 |
transcript.pyannote[13].start |
63.26159375 |
transcript.pyannote[13].end |
64.22346875 |
transcript.pyannote[14].speaker |
SPEAKER_01 |
transcript.pyannote[14].start |
64.27409375 |
transcript.pyannote[14].end |
66.53534375 |
transcript.pyannote[15].speaker |
SPEAKER_01 |
transcript.pyannote[15].start |
66.90659375 |
transcript.pyannote[15].end |
67.96971875 |
transcript.pyannote[16].speaker |
SPEAKER_00 |
transcript.pyannote[16].start |
67.96971875 |
transcript.pyannote[16].end |
67.98659375 |
transcript.pyannote[17].speaker |
SPEAKER_00 |
transcript.pyannote[17].start |
68.74596875 |
transcript.pyannote[17].end |
82.93784375 |
transcript.pyannote[18].speaker |
SPEAKER_01 |
transcript.pyannote[18].start |
82.78596875 |
transcript.pyannote[18].end |
91.05471875 |
transcript.pyannote[19].speaker |
SPEAKER_00 |
transcript.pyannote[19].start |
91.05471875 |
transcript.pyannote[19].end |
100.18409375 |
transcript.pyannote[20].speaker |
SPEAKER_01 |
transcript.pyannote[20].start |
100.58909375 |
transcript.pyannote[20].end |
107.06909375 |
transcript.pyannote[21].speaker |
SPEAKER_01 |
transcript.pyannote[21].start |
107.76096875 |
transcript.pyannote[21].end |
109.11096875 |
transcript.pyannote[22].speaker |
SPEAKER_01 |
transcript.pyannote[22].start |
109.61721875 |
transcript.pyannote[22].end |
112.16534375 |
transcript.pyannote[23].speaker |
SPEAKER_00 |
transcript.pyannote[23].start |
113.86971875 |
transcript.pyannote[23].end |
116.72159375 |
transcript.pyannote[24].speaker |
SPEAKER_01 |
transcript.pyannote[24].start |
116.72159375 |
transcript.pyannote[24].end |
117.02534375 |
transcript.pyannote[25].speaker |
SPEAKER_00 |
transcript.pyannote[25].start |
117.02534375 |
transcript.pyannote[25].end |
117.07596875 |
transcript.pyannote[26].speaker |
SPEAKER_00 |
transcript.pyannote[26].start |
117.17721875 |
transcript.pyannote[26].end |
118.25721875 |
transcript.pyannote[27].speaker |
SPEAKER_00 |
transcript.pyannote[27].start |
119.87721875 |
transcript.pyannote[27].end |
127.40346875 |
transcript.pyannote[28].speaker |
SPEAKER_01 |
transcript.pyannote[28].start |
125.36159375 |
transcript.pyannote[28].end |
125.76659375 |
transcript.pyannote[29].speaker |
SPEAKER_01 |
transcript.pyannote[29].start |
126.57659375 |
transcript.pyannote[29].end |
129.91784375 |
transcript.pyannote[30].speaker |
SPEAKER_01 |
transcript.pyannote[30].start |
129.96846875 |
transcript.pyannote[30].end |
131.25096875 |
transcript.pyannote[31].speaker |
SPEAKER_00 |
transcript.pyannote[31].start |
130.89659375 |
transcript.pyannote[31].end |
136.04346875 |
transcript.pyannote[32].speaker |
SPEAKER_01 |
transcript.pyannote[32].start |
136.04346875 |
transcript.pyannote[32].end |
142.37159375 |
transcript.pyannote[33].speaker |
SPEAKER_00 |
transcript.pyannote[33].start |
142.64159375 |
transcript.pyannote[33].end |
148.51409375 |
transcript.pyannote[34].speaker |
SPEAKER_01 |
transcript.pyannote[34].start |
143.97471875 |
transcript.pyannote[34].end |
144.51471875 |
transcript.pyannote[35].speaker |
SPEAKER_00 |
transcript.pyannote[35].start |
148.78409375 |
transcript.pyannote[35].end |
149.96534375 |
transcript.pyannote[36].speaker |
SPEAKER_00 |
transcript.pyannote[36].start |
150.45471875 |
transcript.pyannote[36].end |
151.63596875 |
transcript.pyannote[37].speaker |
SPEAKER_00 |
transcript.pyannote[37].start |
151.87221875 |
transcript.pyannote[37].end |
153.05346875 |
transcript.pyannote[38].speaker |
SPEAKER_00 |
transcript.pyannote[38].start |
153.67784375 |
transcript.pyannote[38].end |
155.04471875 |
transcript.pyannote[39].speaker |
SPEAKER_01 |
transcript.pyannote[39].start |
155.12909375 |
transcript.pyannote[39].end |
170.83971875 |
transcript.pyannote[40].speaker |
SPEAKER_00 |
transcript.pyannote[40].start |
158.03159375 |
transcript.pyannote[40].end |
159.01034375 |
transcript.pyannote[41].speaker |
SPEAKER_00 |
transcript.pyannote[41].start |
165.18659375 |
transcript.pyannote[41].end |
165.50721875 |
transcript.pyannote[42].speaker |
SPEAKER_00 |
transcript.pyannote[42].start |
167.80221875 |
transcript.pyannote[42].end |
168.20721875 |
transcript.pyannote[43].speaker |
SPEAKER_01 |
transcript.pyannote[43].start |
171.19409375 |
transcript.pyannote[43].end |
179.54721875 |
transcript.pyannote[44].speaker |
SPEAKER_00 |
transcript.pyannote[44].start |
174.16409375 |
transcript.pyannote[44].end |
174.72096875 |
transcript.pyannote[45].speaker |
SPEAKER_01 |
transcript.pyannote[45].start |
180.25596875 |
transcript.pyannote[45].end |
182.92221875 |
transcript.pyannote[46].speaker |
SPEAKER_00 |
transcript.pyannote[46].start |
183.05721875 |
transcript.pyannote[46].end |
203.61096875 |
transcript.pyannote[47].speaker |
SPEAKER_01 |
transcript.pyannote[47].start |
203.61096875 |
transcript.pyannote[47].end |
208.69034375 |
transcript.pyannote[48].speaker |
SPEAKER_00 |
transcript.pyannote[48].start |
209.71971875 |
transcript.pyannote[48].end |
219.70971875 |
transcript.pyannote[49].speaker |
SPEAKER_01 |
transcript.pyannote[49].start |
219.35534375 |
transcript.pyannote[49].end |
227.47221875 |
transcript.pyannote[50].speaker |
SPEAKER_00 |
transcript.pyannote[50].start |
227.47221875 |
transcript.pyannote[50].end |
230.00346875 |
transcript.pyannote[51].speaker |
SPEAKER_01 |
transcript.pyannote[51].start |
227.57346875 |
transcript.pyannote[51].end |
228.14721875 |
transcript.pyannote[52].speaker |
SPEAKER_01 |
transcript.pyannote[52].start |
230.23971875 |
transcript.pyannote[52].end |
233.26034375 |
transcript.pyannote[53].speaker |
SPEAKER_01 |
transcript.pyannote[53].start |
233.54721875 |
transcript.pyannote[53].end |
245.25846875 |
transcript.pyannote[54].speaker |
SPEAKER_01 |
transcript.pyannote[54].start |
245.76471875 |
transcript.pyannote[54].end |
246.49034375 |
transcript.pyannote[55].speaker |
SPEAKER_00 |
transcript.pyannote[55].start |
247.35096875 |
transcript.pyannote[55].end |
260.15909375 |
transcript.pyannote[56].speaker |
SPEAKER_01 |
transcript.pyannote[56].start |
260.15909375 |
transcript.pyannote[56].end |
261.15471875 |
transcript.pyannote[57].speaker |
SPEAKER_01 |
transcript.pyannote[57].start |
261.55971875 |
transcript.pyannote[57].end |
265.98096875 |
transcript.pyannote[58].speaker |
SPEAKER_00 |
transcript.pyannote[58].start |
265.98096875 |
transcript.pyannote[58].end |
281.48909375 |
transcript.pyannote[59].speaker |
SPEAKER_01 |
transcript.pyannote[59].start |
281.91096875 |
transcript.pyannote[59].end |
288.03659375 |
transcript.pyannote[60].speaker |
SPEAKER_01 |
transcript.pyannote[60].start |
288.79596875 |
transcript.pyannote[60].end |
292.87971875 |
transcript.pyannote[61].speaker |
SPEAKER_01 |
transcript.pyannote[61].start |
293.48721875 |
transcript.pyannote[61].end |
302.19471875 |
transcript.pyannote[62].speaker |
SPEAKER_01 |
transcript.pyannote[62].start |
303.89909375 |
transcript.pyannote[62].end |
312.75846875 |
transcript.pyannote[63].speaker |
SPEAKER_00 |
transcript.pyannote[63].start |
312.75846875 |
transcript.pyannote[63].end |
335.03346875 |
transcript.pyannote[64].speaker |
SPEAKER_01 |
transcript.pyannote[64].start |
334.39221875 |
transcript.pyannote[64].end |
341.85096875 |
transcript.pyannote[65].speaker |
SPEAKER_00 |
transcript.pyannote[65].start |
340.83846875 |
transcript.pyannote[65].end |
341.20971875 |
transcript.pyannote[66].speaker |
SPEAKER_00 |
transcript.pyannote[66].start |
341.95221875 |
transcript.pyannote[66].end |
347.85846875 |
transcript.pyannote[67].speaker |
SPEAKER_00 |
transcript.pyannote[67].start |
348.26346875 |
transcript.pyannote[67].end |
357.81471875 |
transcript.pyannote[68].speaker |
SPEAKER_01 |
transcript.pyannote[68].start |
356.81909375 |
transcript.pyannote[68].end |
357.46034375 |
transcript.pyannote[69].speaker |
SPEAKER_01 |
transcript.pyannote[69].start |
357.81471875 |
transcript.pyannote[69].end |
364.80096875 |
transcript.pyannote[70].speaker |
SPEAKER_01 |
transcript.pyannote[70].start |
364.93596875 |
transcript.pyannote[70].end |
366.75846875 |
transcript.pyannote[71].speaker |
SPEAKER_00 |
transcript.pyannote[71].start |
365.74596875 |
transcript.pyannote[71].end |
366.70784375 |
transcript.pyannote[72].speaker |
SPEAKER_00 |
transcript.pyannote[72].start |
366.75846875 |
transcript.pyannote[72].end |
367.09596875 |
transcript.pyannote[73].speaker |
SPEAKER_01 |
transcript.pyannote[73].start |
367.09596875 |
transcript.pyannote[73].end |
370.38659375 |
transcript.pyannote[74].speaker |
SPEAKER_00 |
transcript.pyannote[74].start |
370.33596875 |
transcript.pyannote[74].end |
402.06096875 |
transcript.pyannote[75].speaker |
SPEAKER_01 |
transcript.pyannote[75].start |
377.30534375 |
transcript.pyannote[75].end |
377.79471875 |
transcript.pyannote[76].speaker |
SPEAKER_01 |
transcript.pyannote[76].start |
387.56534375 |
transcript.pyannote[76].end |
388.00409375 |
transcript.pyannote[77].speaker |
SPEAKER_01 |
transcript.pyannote[77].start |
402.06096875 |
transcript.pyannote[77].end |
402.51659375 |
transcript.pyannote[78].speaker |
SPEAKER_00 |
transcript.pyannote[78].start |
402.41534375 |
transcript.pyannote[78].end |
406.88721875 |
transcript.pyannote[79].speaker |
SPEAKER_00 |
transcript.pyannote[79].start |
407.34284375 |
transcript.pyannote[79].end |
426.07409375 |
transcript.pyannote[80].speaker |
SPEAKER_01 |
transcript.pyannote[80].start |
411.56159375 |
transcript.pyannote[80].end |
411.59534375 |
transcript.pyannote[81].speaker |
SPEAKER_01 |
transcript.pyannote[81].start |
425.60159375 |
transcript.pyannote[81].end |
433.75221875 |
transcript.pyannote[82].speaker |
SPEAKER_01 |
transcript.pyannote[82].start |
434.29221875 |
transcript.pyannote[82].end |
437.76846875 |
transcript.pyannote[83].speaker |
SPEAKER_01 |
transcript.pyannote[83].start |
438.03846875 |
transcript.pyannote[83].end |
438.35909375 |
transcript.pyannote[84].speaker |
SPEAKER_00 |
transcript.pyannote[84].start |
438.91596875 |
transcript.pyannote[84].end |
446.79659375 |
transcript.pyannote[85].speaker |
SPEAKER_00 |
transcript.pyannote[85].start |
446.84721875 |
transcript.pyannote[85].end |
457.46159375 |
transcript.pyannote[86].speaker |
SPEAKER_00 |
transcript.pyannote[86].start |
458.10284375 |
transcript.pyannote[86].end |
458.76096875 |
transcript.pyannote[87].speaker |
SPEAKER_01 |
transcript.pyannote[87].start |
458.76096875 |
transcript.pyannote[87].end |
458.79471875 |
transcript.pyannote[88].speaker |
SPEAKER_01 |
transcript.pyannote[88].start |
459.09846875 |
transcript.pyannote[88].end |
459.11534375 |
transcript.pyannote[89].speaker |
SPEAKER_00 |
transcript.pyannote[89].start |
459.11534375 |
transcript.pyannote[89].end |
459.97596875 |
transcript.pyannote[90].speaker |
SPEAKER_01 |
transcript.pyannote[90].start |
459.97596875 |
transcript.pyannote[90].end |
461.27534375 |
transcript.pyannote[91].speaker |
SPEAKER_01 |
transcript.pyannote[91].start |
461.76471875 |
transcript.pyannote[91].end |
474.75846875 |
transcript.pyannote[92].speaker |
SPEAKER_00 |
transcript.pyannote[92].start |
475.93971875 |
transcript.pyannote[92].end |
486.67221875 |
transcript.pyannote[93].speaker |
SPEAKER_00 |
transcript.pyannote[93].start |
487.19534375 |
transcript.pyannote[93].end |
493.94534375 |
transcript.pyannote[94].speaker |
SPEAKER_01 |
transcript.pyannote[94].start |
493.94534375 |
transcript.pyannote[94].end |
497.45534375 |
transcript.pyannote[95].speaker |
SPEAKER_01 |
transcript.pyannote[95].start |
497.70846875 |
transcript.pyannote[95].end |
509.79096875 |
transcript.pyannote[96].speaker |
SPEAKER_00 |
transcript.pyannote[96].start |
510.26346875 |
transcript.pyannote[96].end |
510.29721875 |
transcript.pyannote[97].speaker |
SPEAKER_01 |
transcript.pyannote[97].start |
510.29721875 |
transcript.pyannote[97].end |
511.36034375 |
transcript.pyannote[98].speaker |
SPEAKER_00 |
transcript.pyannote[98].start |
510.31409375 |
transcript.pyannote[98].end |
510.85409375 |
transcript.pyannote[99].speaker |
SPEAKER_00 |
transcript.pyannote[99].start |
511.36034375 |
transcript.pyannote[99].end |
523.91534375 |
transcript.pyannote[100].speaker |
SPEAKER_00 |
transcript.pyannote[100].start |
524.60721875 |
transcript.pyannote[100].end |
544.62096875 |
transcript.pyannote[101].speaker |
SPEAKER_01 |
transcript.pyannote[101].start |
544.62096875 |
transcript.pyannote[101].end |
545.12721875 |
transcript.pyannote[102].speaker |
SPEAKER_00 |
transcript.pyannote[102].start |
545.71784375 |
transcript.pyannote[102].end |
545.73471875 |
transcript.pyannote[103].speaker |
SPEAKER_01 |
transcript.pyannote[103].start |
545.73471875 |
transcript.pyannote[103].end |
545.83596875 |
transcript.pyannote[104].speaker |
SPEAKER_00 |
transcript.pyannote[104].start |
545.83596875 |
transcript.pyannote[104].end |
545.90346875 |
transcript.pyannote[105].speaker |
SPEAKER_01 |
transcript.pyannote[105].start |
545.90346875 |
transcript.pyannote[105].end |
545.98784375 |
transcript.pyannote[106].speaker |
SPEAKER_00 |
transcript.pyannote[106].start |
545.98784375 |
transcript.pyannote[106].end |
546.00471875 |
transcript.pyannote[107].speaker |
SPEAKER_01 |
transcript.pyannote[107].start |
546.00471875 |
transcript.pyannote[107].end |
546.05534375 |
transcript.pyannote[108].speaker |
SPEAKER_01 |
transcript.pyannote[108].start |
546.37596875 |
transcript.pyannote[108].end |
547.48971875 |
transcript.pyannote[109].speaker |
SPEAKER_01 |
transcript.pyannote[109].start |
548.53596875 |
transcript.pyannote[109].end |
553.22721875 |
transcript.pyannote[110].speaker |
SPEAKER_01 |
transcript.pyannote[110].start |
553.83471875 |
transcript.pyannote[110].end |
563.70659375 |
transcript.pyannote[111].speaker |
SPEAKER_00 |
transcript.pyannote[111].start |
563.87534375 |
transcript.pyannote[111].end |
580.31159375 |
transcript.pyannote[112].speaker |
SPEAKER_01 |
transcript.pyannote[112].start |
574.21971875 |
transcript.pyannote[112].end |
575.09721875 |
transcript.pyannote[113].speaker |
SPEAKER_01 |
transcript.pyannote[113].start |
579.51846875 |
transcript.pyannote[113].end |
582.33659375 |
transcript.pyannote[114].speaker |
SPEAKER_00 |
transcript.pyannote[114].start |
581.29034375 |
transcript.pyannote[114].end |
581.61096875 |
transcript.pyannote[115].speaker |
SPEAKER_01 |
transcript.pyannote[115].start |
583.99034375 |
transcript.pyannote[115].end |
585.22221875 |
transcript.whisperx[0].start |
0.289 |
transcript.whisperx[0].end |
29.672 |
transcript.whisperx[0].text |
那個部長有事要先離開請法務部跟這個司法院麻煩次長跟副秘書長我也好 |
transcript.whisperx[1].start |
31.978 |
transcript.whisperx[1].end |
55.744 |
transcript.whisperx[1].text |
副秘書長好,請問一下我們這個科技載具按照你們的報告大概分為這一個四大類手環、腳環、個案手機跟居家讀取器按照你們的了解這四個裡頭曾經被破壞過的最多的是哪一種? |
transcript.whisperx[2].start |
59.724 |
transcript.whisperx[2].end |
84.656 |
transcript.whisperx[2].text |
報告委員據我們了解是手機手機手機是好那手機這個是法務部買的目前我們四年來發生一個最具體的個案是剪斷腳環的部分手機的部分當然它是因為是一個消耗品大家容易消耗沒有錯那具體的破壞的話破壞這個載具的部分是腳環的部分這個是很高科技的 |
transcript.whisperx[3].start |
85.276 |
transcript.whisperx[3].end |
111.775 |
transcript.whisperx[3].text |
就是品質不容易好是不是?還是怎樣?就是它為什麼那麼容易壞掉?其實也不容易,因為四年來就沒一次,但後來我們也做一些補漏啦所以目前為止就沒有再發生有關破壞對我們這個腳環的部分再進行破壞了好,那現在有使用這些科技監控的這些設備啦這個最近這一兩年有沒有人明明給了這個東西,後來他忍不見了 |
transcript.whisperx[4].start |
114.482 |
transcript.whisperx[4].end |
142.175 |
transcript.whisperx[4].text |
委員你講是說載具他脫逃的嗎對所以什麼載具做脫逃他就是目前沒有啊載具戴腳載具做脫逃的對沒有就是說他只要戴在手上戴在腳上目前比較具體個案他是沒有具體施行科技監控而後逃亡的好所以現在只要戴在手上戴在腳上他任何的移動在高檢的那個中心都看得到 |
transcript.whisperx[5].start |
144.295 |
transcript.whisperx[5].end |
170.349 |
transcript.whisperx[5].text |
當然除非他因為他畢竟是一個科技設備他有收訊的問題除非他是因為科技設備本身收訊的極限他有可能會有一些好那為什麼會有收訊的極限呢因為他有住所嘛對不對那他今天跟你們講說我今天要去看病他要跟你們講嘛我今天要去哪裡剪頭髮要跟你們講嘛那不在原來設定的 |
transcript.whisperx[6].start |
172.07 |
transcript.whisperx[6].end |
174.254 |
transcript.whisperx[6].text |
範圍內的系統就會警示嘛應該是這樣對不對那他一離開你們的範圍就警示 |
transcript.whisperx[7].start |
180.322 |
transcript.whisperx[7].end |
208.294 |
transcript.whisperx[7].text |
那所以他脫逃的機會真的不高是吧顧問報告他現在其實不高啦那除非就我剛才講他畢竟是一個高科技設備他有一個搜訊的視角但是我們會我們在當然這是一個我們不能對外公開我們有一些方法去防治他另外還有一些複合式的科技方法去監控他當某一種科技搜訊不好的時候還有其他的補救的方式去做補救那我舉比較極端的例子他就說我要住在山上啊那你就沒搜訊啊 |
transcript.whisperx[8].start |
210.173 |
transcript.whisperx[8].end |
232.594 |
transcript.whisperx[8].text |
當然他要做在哪裡是檢察官法官在做科技監控設備的時候給他的一個指示他不能夠自行來決定的是檢察官法官決定的這也是就是說這也是不羈押他然後呢給了這個地點檢察官或法官覺得可以對那是檢察官命他應遵守的事項OK好那最近當然有這種什麼 |
transcript.whisperx[9].start |
233.695 |
transcript.whisperx[9].end |
260.665 |
transcript.whisperx[9].text |
靠近海邊 靠近港口嘛那這個說是什麼因為要去看病會經過那裡嘛後來這一位就被就被羈押了 對不對這種案子常見嗎當然這個具體個案是檢察官法官去判斷啦當他靠近了這個告警範圍的時候那檢察官或法官要去判斷這個時候他有沒有逃亡的可能性就是說具體個案檢察官法官要去判斷可是他 |
transcript.whisperx[10].start |
261.65 |
transcript.whisperx[10].end |
287.59 |
transcript.whisperx[10].text |
他應該也沒有跟檢察官或法官講說他會經過那個路徑嘛我們在給他設定的條件的時候他就不能夠接近告警的範圍啊他就檢察官在設定條件的時候就會告警他不能夠譬如說他有被限制出境出海他就不能夠靠近那個港口機場跟海岸線那有沒有這種帶這些科技這個監控載具的人啊他就是白白白白啦 |
transcript.whisperx[11].start |
288.834 |
transcript.whisperx[11].end |
301.886 |
transcript.whisperx[11].text |
他的罪其實也不重然後呢也沒有羈押的必要那他就這個法官或檢察官就說那你就帶著這個那他也同意也住在他家他沒事就玩一下 |
transcript.whisperx[12].start |
303.936 |
transcript.whisperx[12].end |
323.299 |
transcript.whisperx[12].text |
跳出這個範圍就叫一下然後這個警政署這些員警們就嗶嗶嗶然後就要去看他一下這種案子多不多各位報告他其實科技監控有一定的機制包括提醒或三級告警的機制他有逐漸的提升他的告警的這個層級所以他在個案發生的時候 |
transcript.whisperx[13].start |
323.88 |
transcript.whisperx[13].end |
341.422 |
transcript.whisperx[13].text |
我們的監控人員會去判斷他提升到哪一個層級的告警機制了我們會反映給甲官或法官做具體的判斷並不是說一有告警就馬上要去測他的監控我是說會不會到最後這個人因為他白目嘛就沒事就這樣玩一下然後到最後就變狼來了那大家就鬆懈 |
transcript.whisperx[14].start |
343.304 |
transcript.whisperx[14].end |
357.41 |
transcript.whisperx[14].text |
事實上我們監控中心會不斷地打電話跟他監控甚至提醒他如果真的有惡意或者相關的疏失行為會提醒他當再犯到某一個程度的時候他就會把告警的層級往上提升他高度逃亡可能性再做處理 |
transcript.whisperx[15].start |
358.03 |
transcript.whisperx[15].end |
386.872 |
transcript.whisperx[15].text |
市長這個在報告裡頭提到說高院參訪了之後有給了一些改善建議嘛對去你們那個中心那具體的改善建議有哪些可以讓我們知道當然就是告警的觸發啦我們現在告警觸發會接下來產生一些相關的通報的問題嘛會導致檢察官法官他不願意使用他因為像如果委員剛剛所提的如果頻頻的觸發那個告警條件的話檢察官法官他可能三天半夜就會被受到影響嘛 |
transcript.whisperx[16].start |
387.973 |
transcript.whisperx[16].end |
405.793 |
transcript.whisperx[16].text |
也許他危險性就不高他逃犯風險也不高但頻繁的觸發這個告警條件的話會讓使用者就是說甲冠法官不願意使用所以在參訪的過程當中很多人會反映說這告警的條件是不是要再做一些檢討所以我們後來我們就對告警觸發的條件我們做一些檢討第一個 |
transcript.whisperx[17].start |
407.455 |
transcript.whisperx[17].end |
433.081 |
transcript.whisperx[17].text |
處罰之後接下來要通報通報的程序要不要做簡化以前你通報程序太複雜檢察官法官太不願意使用所以從前端的告警處罰條件的優化跟後端告警通報做一些簡化讓檢察官法官願意使用這套系統所以就有可能這一個當事人住所附近的派出所或分局就會有一個同步的事情嗎那這個 |
transcript.whisperx[18].start |
434.361 |
transcript.whisperx[18].end |
460.949 |
transcript.whisperx[18].text |
因為到時候實際上要真正去看的應該就是員警了 對吧這倒是不一定啦 個案的時候倒是有檢察官法官去決定要如何的監控這一個被告他也許如同委員講的 會叫員警可以我們辦法的規定 員警就可以去處理也許我們法警 我們地檢署或法院法警也可以去處理這是具體個案法官檢察官去判斷對 那這些員警啊 |
transcript.whisperx[19].start |
462.06 |
transcript.whisperx[19].end |
474.532 |
transcript.whisperx[19].text |
因為我看這個警政署的報告裡頭他們也蠻支持這個案子的那支持這個案子可是我真的看起來如果這些人真的有白目的我們這些員警也會疲於奔命 |
transcript.whisperx[20].start |
476.124 |
transcript.whisperx[20].end |
496.451 |
transcript.whisperx[20].text |
各位報告所以我們現在另外有科技監控有一種叫做電子報道的模式它就透過個案的手機拍照或定位你就不要到派出所去報道了那減少我們遠景基層遠景的人力的負荷所以在整個科技社會監控上我們有做一些優化了那報告裡頭也有提到這一個夜間 |
transcript.whisperx[21].start |
497.811 |
transcript.whisperx[21].end |
523.44 |
transcript.whisperx[21].text |
就提到說這個葉堅因為他在原來的居所他住的地方這個逃亡的機率可能比較小之類的所以那個警示的層級就往下降是不是這是什麼概念他是一些告警的程序跟警示他做一些處理我們搭配其他的因為我們的科技監控有很多譬如說居家讀取器或相關東西他就會用其他的方式去代替監控 |
transcript.whisperx[22].start |
524.64 |
transcript.whisperx[22].end |
546.488 |
transcript.whisperx[22].text |
不一定一定要使用這個觸發這個告警我們現在有些個案手機其實我們就可以知道他的所在地了他有些他雖然觸發了告警但是我們用其他的搭配的科技方式知道他的確沒有離開他的入所地這時候我們也不要去進一步到三級的告警機制去做處理來打擾假官或法官OK好那 |
transcript.whisperx[23].start |
548.638 |
transcript.whisperx[23].end |
563.228 |
transcript.whisperx[23].text |
所以我再問一個,那過去曾經搞過這些破壞,他們的大概是哪一類的人就是說什麼刑期啦,或什麼有錢的啦,還是什麼年齡的啦,大概是哪一類的人機會比較高 |
transcript.whisperx[24].start |
564.108 |
transcript.whisperx[24].end |
581.892 |
transcript.whisperx[24].text |
跟委員報告我剛剛跟委員報告就是目前四年來唯一一件他是有破壞繳還的那個個案唯一一件啦齁但那個個案本身因為他在我就無方無法對講但是這麼一件所以統計上還沒有辦法給給委員一個統計上的一個一件所以無法統計好 了解 謝謝好 謝謝王委員 |